From 12238a7a0a066b5b352857c2481ed417047b6631 Mon Sep 17 00:00:00 2001
From: wilyJ80 <abjurandam@gmail.com>
Date: Wed, 4 Mar 2026 11:31:22 -0300
Subject: [PATCH 1/3] fix: pandas broken packages

---
 docs/examples/Supported_Models.ipynb |  373 +++---
 poetry.lock                          | 1654 +++++++++++++-------------
 pyproject.toml                       |    5 +-
 3 files changed, 995 insertions(+), 1037 deletions(-)

diff --git a/docs/examples/Supported_Models.ipynb b/docs/examples/Supported_Models.ipynb
index d20ad9f12..1ffbaf81a 100644
--- a/docs/examples/Supported_Models.ipynb
+++ b/docs/examples/Supported_Models.ipynb
@@ -2,16 +2,13 @@
  "cells": [
   {
    "cell_type": "code",
+   "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:03.324551Z",
      "start_time": "2024-11-13T09:01:03.234711Z"
     }
    },
-   "source": [
-    "%load_ext autoreload\n",
-    "%autoreload 2"
-   ],
    "outputs": [
     {
      "name": "stdout",
@@ -22,16 +19,21 @@
      ]
     }
    ],
-   "execution_count": 10
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:04.505772Z",
      "start_time": "2024-11-13T09:01:04.493296Z"
     }
    },
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "\n",
@@ -42,9 +44,7 @@
     "    ImageEmbedding,\n",
     ")\n",
     "from fastembed.rerank.cross_encoder import TextCrossEncoder"
-   ],
-   "outputs": [],
-   "execution_count": 11
+   ]
   },
   {
    "cell_type": "markdown",
@@ -55,79 +55,16 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 12,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:05.812271Z",
      "start_time": "2024-11-13T09:01:05.795846Z"
     }
    },
-   "source": [
-    "supported_models = (\n",
-    "    pd.DataFrame(TextEmbedding.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")\n",
-    "supported_models"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                                                model   dim  \\\n",
-       "0                              BAAI/bge-small-en-v1.5   384   \n",
-       "1                              BAAI/bge-small-zh-v1.5   512   \n",
-       "2                 snowflake/snowflake-arctic-embed-xs   384   \n",
-       "3              sentence-transformers/all-MiniLM-L6-v2   384   \n",
-       "4                  jinaai/jina-embeddings-v2-small-en   512   \n",
-       "5                                   BAAI/bge-small-en   384   \n",
-       "6                  snowflake/snowflake-arctic-embed-s   384   \n",
-       "7                    nomic-ai/nomic-embed-text-v1.5-Q   768   \n",
-       "8                               BAAI/bge-base-en-v1.5   768   \n",
-       "9   sentence-transformers/paraphrase-multilingual-...   384   \n",
-       "10                          Qdrant/clip-ViT-B-32-text   512   \n",
-       "11                  jinaai/jina-embeddings-v2-base-de   768   \n",
-       "12                                   BAAI/bge-base-en   768   \n",
-       "13                 snowflake/snowflake-arctic-embed-m   768   \n",
-       "14                     nomic-ai/nomic-embed-text-v1.5   768   \n",
-       "15                  jinaai/jina-embeddings-v2-base-en   768   \n",
-       "16                       nomic-ai/nomic-embed-text-v1   768   \n",
-       "17            snowflake/snowflake-arctic-embed-m-long   768   \n",
-       "18                 mixedbread-ai/mxbai-embed-large-v1  1024   \n",
-       "19                jinaai/jina-embeddings-v2-base-code   768   \n",
-       "20  sentence-transformers/paraphrase-multilingual-...   768   \n",
-       "21                 snowflake/snowflake-arctic-embed-l  1024   \n",
-       "22                                 thenlper/gte-large  1024   \n",
-       "23                             BAAI/bge-large-en-v1.5  1024   \n",
-       "24                     intfloat/multilingual-e5-large  1024   \n",
-       "\n",
-       "                                          description     license  size_in_GB  \n",
-       "0   Text embeddings, Unimodal (text), English, 512...         mit       0.067  \n",
-       "1   Text embeddings, Unimodal (text), Chinese, 512...         mit       0.090  \n",
-       "2   Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.090  \n",
-       "3   Text embeddings, Unimodal (text), English, 256...  apache-2.0       0.090  \n",
-       "4   Text embeddings, Unimodal (text), English, 819...  apache-2.0       0.120  \n",
-       "5   Text embeddings, Unimodal (text), English, 512...         mit       0.130  \n",
-       "6   Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.130  \n",
-       "7   Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.130  \n",
-       "8   Text embeddings, Unimodal (text), English, 512...         mit       0.210  \n",
-       "9   Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.220  \n",
-       "10  Text embeddings, Multimodal (text&image), Engl...         mit       0.250  \n",
-       "11  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.320  \n",
-       "12  Text embeddings, Unimodal (text), English, 512...         mit       0.420  \n",
-       "13  Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.430  \n",
-       "14  Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.520  \n",
-       "15  Text embeddings, Unimodal (text), English, 819...  apache-2.0       0.520  \n",
-       "16  Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.520  \n",
-       "17  Text embeddings, Unimodal (text), English, 204...  apache-2.0       0.540  \n",
-       "18  Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.640  \n",
-       "19  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.640  \n",
-       "20  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       1.000  \n",
-       "21  Text embeddings, Unimodal (text), English, 512...  apache-2.0       1.020  \n",
-       "22  Text embeddings, Unimodal (text), English, 512...         mit       1.200  \n",
-       "23  Text embeddings, Unimodal (text), English, 512...         mit       1.200  \n",
-       "24  Text embeddings, Unimodal (text), Multilingual...         mit       2.240  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -358,6 +295,61 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                                model   dim  \\\n",
+       "0                              BAAI/bge-small-en-v1.5   384   \n",
+       "1                              BAAI/bge-small-zh-v1.5   512   \n",
+       "2                 snowflake/snowflake-arctic-embed-xs   384   \n",
+       "3              sentence-transformers/all-MiniLM-L6-v2   384   \n",
+       "4                  jinaai/jina-embeddings-v2-small-en   512   \n",
+       "5                                   BAAI/bge-small-en   384   \n",
+       "6                  snowflake/snowflake-arctic-embed-s   384   \n",
+       "7                    nomic-ai/nomic-embed-text-v1.5-Q   768   \n",
+       "8                               BAAI/bge-base-en-v1.5   768   \n",
+       "9   sentence-transformers/paraphrase-multilingual-...   384   \n",
+       "10                          Qdrant/clip-ViT-B-32-text   512   \n",
+       "11                  jinaai/jina-embeddings-v2-base-de   768   \n",
+       "12                                   BAAI/bge-base-en   768   \n",
+       "13                 snowflake/snowflake-arctic-embed-m   768   \n",
+       "14                     nomic-ai/nomic-embed-text-v1.5   768   \n",
+       "15                  jinaai/jina-embeddings-v2-base-en   768   \n",
+       "16                       nomic-ai/nomic-embed-text-v1   768   \n",
+       "17            snowflake/snowflake-arctic-embed-m-long   768   \n",
+       "18                 mixedbread-ai/mxbai-embed-large-v1  1024   \n",
+       "19                jinaai/jina-embeddings-v2-base-code   768   \n",
+       "20  sentence-transformers/paraphrase-multilingual-...   768   \n",
+       "21                 snowflake/snowflake-arctic-embed-l  1024   \n",
+       "22                                 thenlper/gte-large  1024   \n",
+       "23                             BAAI/bge-large-en-v1.5  1024   \n",
+       "24                     intfloat/multilingual-e5-large  1024   \n",
+       "\n",
+       "                                          description     license  size_in_GB  \n",
+       "0   Text embeddings, Unimodal (text), English, 512...         mit       0.067  \n",
+       "1   Text embeddings, Unimodal (text), Chinese, 512...         mit       0.090  \n",
+       "2   Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.090  \n",
+       "3   Text embeddings, Unimodal (text), English, 256...  apache-2.0       0.090  \n",
+       "4   Text embeddings, Unimodal (text), English, 819...  apache-2.0       0.120  \n",
+       "5   Text embeddings, Unimodal (text), English, 512...         mit       0.130  \n",
+       "6   Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.130  \n",
+       "7   Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.130  \n",
+       "8   Text embeddings, Unimodal (text), English, 512...         mit       0.210  \n",
+       "9   Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.220  \n",
+       "10  Text embeddings, Multimodal (text&image), Engl...         mit       0.250  \n",
+       "11  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.320  \n",
+       "12  Text embeddings, Unimodal (text), English, 512...         mit       0.420  \n",
+       "13  Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.430  \n",
+       "14  Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.520  \n",
+       "15  Text embeddings, Unimodal (text), English, 819...  apache-2.0       0.520  \n",
+       "16  Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.520  \n",
+       "17  Text embeddings, Unimodal (text), English, 204...  apache-2.0       0.540  \n",
+       "18  Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.640  \n",
+       "19  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.640  \n",
+       "20  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       1.000  \n",
+       "21  Text embeddings, Unimodal (text), English, 512...  apache-2.0       1.020  \n",
+       "22  Text embeddings, Unimodal (text), English, 512...         mit       1.200  \n",
+       "23  Text embeddings, Unimodal (text), English, 512...         mit       1.200  \n",
+       "24  Text embeddings, Unimodal (text), Multilingual...         mit       2.240  "
       ]
      },
      "execution_count": 12,
@@ -365,7 +357,15 @@
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 12
+   "source": [
+    "supported_models = (\n",
+    "    pd.DataFrame(TextEmbedding.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")\n",
+    "supported_models"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -376,42 +376,16 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 13,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:07.038954Z",
      "start_time": "2024-11-13T09:01:07.019656Z"
     }
    },
-   "source": [
-    "(\n",
-    "    pd.DataFrame(SparseTextEmbedding.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                                     model  vocab_size  \\\n",
-       "0                              Qdrant/bm25         NaN   \n",
-       "1  Qdrant/bm42-all-minilm-l6-v2-attentions     30522.0   \n",
-       "2               prithivida/Splade_PP_en_v1     30522.0   \n",
-       "3                prithvida/Splade_PP_en_v1     30522.0   \n",
-       "\n",
-       "                                         description     license  size_in_GB  \\\n",
-       "0  BM25 as sparse embeddings meant to be used wit...  apache-2.0       0.010   \n",
-       "1  Light sparse embedding model, which assigns an...  apache-2.0       0.090   \n",
-       "2  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
-       "3  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
-       "\n",
-       "  requires_idf  \n",
-       "0         True  \n",
-       "1         True  \n",
-       "2          NaN  \n",
-       "3          NaN  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -479,6 +453,25 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                     model  vocab_size  \\\n",
+       "0                              Qdrant/bm25         NaN   \n",
+       "1  Qdrant/bm42-all-minilm-l6-v2-attentions     30522.0   \n",
+       "2               prithivida/Splade_PP_en_v1     30522.0   \n",
+       "3                prithvida/Splade_PP_en_v1     30522.0   \n",
+       "\n",
+       "                                         description     license  size_in_GB  \\\n",
+       "0  BM25 as sparse embeddings meant to be used wit...  apache-2.0       0.010   \n",
+       "1  Light sparse embedding model, which assigns an...  apache-2.0       0.090   \n",
+       "2  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
+       "3  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
+       "\n",
+       "  requires_idf  \n",
+       "0         True  \n",
+       "1         True  \n",
+       "2          NaN  \n",
+       "3          NaN  "
       ]
      },
      "execution_count": 13,
@@ -486,7 +479,14 @@
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 13
+   "source": [
+    "(\n",
+    "    pd.DataFrame(SparseTextEmbedding.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -499,40 +499,17 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 14,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:08.074442Z",
      "start_time": "2024-11-13T09:01:08.056138Z"
-    }
+    },
+    "collapsed": false
    },
-   "source": [
-    "(\n",
-    "    pd.DataFrame(LateInteractionTextEmbedding.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                                   model  dim  \\\n",
-       "0  answerdotai/answerai-colbert-small-v1   96   \n",
-       "1                 colbert-ir/colbertv2.0  128   \n",
-       "2                 jinaai/jina-colbert-v2  128   \n",
-       "\n",
-       "                                         description       license  \\\n",
-       "0  Text embeddings, Unimodal (text), Multilingual...    apache-2.0   \n",
-       "1                             Late interaction model           mit   \n",
-       "2  New model that expands capabilities of colbert...  cc-by-nc-4.0   \n",
-       "\n",
-       "   size_in_GB        additional_files  \n",
-       "0        0.13                     NaN  \n",
-       "1        0.44                     NaN  \n",
-       "2        2.24  [onnx/model.onnx_data]  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -591,6 +568,22 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                   model  dim  \\\n",
+       "0  answerdotai/answerai-colbert-small-v1   96   \n",
+       "1                 colbert-ir/colbertv2.0  128   \n",
+       "2                 jinaai/jina-colbert-v2  128   \n",
+       "\n",
+       "                                         description       license  \\\n",
+       "0  Text embeddings, Unimodal (text), Multilingual...    apache-2.0   \n",
+       "1                             Late interaction model           mit   \n",
+       "2  New model that expands capabilities of colbert...  cc-by-nc-4.0   \n",
+       "\n",
+       "   size_in_GB        additional_files  \n",
+       "0        0.13                     NaN  \n",
+       "1        0.44                     NaN  \n",
+       "2        2.24  [onnx/model.onnx_data]  "
       ]
      },
      "execution_count": 14,
@@ -598,7 +591,14 @@
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 14
+   "source": [
+    "(\n",
+    "    pd.DataFrame(LateInteractionTextEmbedding.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -611,37 +611,17 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 15,
    "metadata": {
-    "collapsed": false,
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:09.171647Z",
      "start_time": "2024-11-13T09:01:09.150940Z"
-    }
+    },
+    "collapsed": false
    },
-   "source": [
-    "(\n",
-    "    pd.DataFrame(ImageEmbedding.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                         model   dim  \\\n",
-       "0         Qdrant/resnet50-onnx  2048   \n",
-       "1  Qdrant/clip-ViT-B-32-vision   512   \n",
-       "2       Qdrant/Unicom-ViT-B-32   512   \n",
-       "3       Qdrant/Unicom-ViT-B-16   768   \n",
-       "\n",
-       "                                         description     license  size_in_GB  \n",
-       "0      Image embeddings, Unimodal (image), 2016 year  apache-2.0        0.10  \n",
-       "1  Image embeddings, Multimodal (text&image), 202...         mit        0.34  \n",
-       "2  Image embeddings, Multimodal (text&image), 202...  apache-2.0        0.48  \n",
-       "3  Image embeddings (more detailed than Unicom-Vi...  apache-2.0        0.82  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -704,6 +684,19 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                         model   dim  \\\n",
+       "0         Qdrant/resnet50-onnx  2048   \n",
+       "1  Qdrant/clip-ViT-B-32-vision   512   \n",
+       "2       Qdrant/Unicom-ViT-B-32   512   \n",
+       "3       Qdrant/Unicom-ViT-B-16   768   \n",
+       "\n",
+       "                                         description     license  size_in_GB  \n",
+       "0      Image embeddings, Unimodal (image), 2016 year  apache-2.0        0.10  \n",
+       "1  Image embeddings, Multimodal (text&image), 202...         mit        0.34  \n",
+       "2  Image embeddings, Multimodal (text&image), 202...  apache-2.0        0.48  \n",
+       "3  Image embeddings (more detailed than Unicom-Vi...  apache-2.0        0.82  "
       ]
      },
      "execution_count": 15,
@@ -711,7 +704,14 @@
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 15
+   "source": [
+    "(\n",
+    "    pd.DataFrame(ImageEmbedding.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -722,40 +722,16 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 16,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:10.313943Z",
      "start_time": "2024-11-13T09:01:10.298428Z"
     }
    },
-   "source": [
-    "(\n",
-    "    pd.DataFrame(TextCrossEncoder.list_supported_models())\n",
-    "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
-    "    .reset_index(drop=True)\n",
-    ")"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "                                       model  size_in_GB  \\\n",
-       "0              Xenova/ms-marco-MiniLM-L-6-v2        0.08   \n",
-       "1             Xenova/ms-marco-MiniLM-L-12-v2        0.12   \n",
-       "2            jinaai/jina-reranker-v1-tiny-en        0.13   \n",
-       "3           jinaai/jina-reranker-v1-turbo-en        0.15   \n",
-       "4                     BAAI/bge-reranker-base        1.04   \n",
-       "5  jinaai/jina-reranker-v2-base-multilingual        1.11   \n",
-       "\n",
-       "                                         description       license  \n",
-       "0  MiniLM-L-6-v2 model optimized for re-ranking t...    apache-2.0  \n",
-       "1  MiniLM-L-12-v2 model optimized for re-ranking ...    apache-2.0  \n",
-       "2  Designed for blazing-fast re-ranking with 8K c...    apache-2.0  \n",
-       "3  Designed for blazing-fast re-ranking with 8K c...    apache-2.0  \n",
-       "4  BGE reranker base model for cross-encoder re-r...           mit  \n",
-       "5  A multi-lingual reranker model for cross-encod...  cc-by-nc-4.0  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -827,6 +803,23 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                                       model  size_in_GB  \\\n",
+       "0              Xenova/ms-marco-MiniLM-L-6-v2        0.08   \n",
+       "1             Xenova/ms-marco-MiniLM-L-12-v2        0.12   \n",
+       "2            jinaai/jina-reranker-v1-tiny-en        0.13   \n",
+       "3           jinaai/jina-reranker-v1-turbo-en        0.15   \n",
+       "4                     BAAI/bge-reranker-base        1.04   \n",
+       "5  jinaai/jina-reranker-v2-base-multilingual        1.11   \n",
+       "\n",
+       "                                         description       license  \n",
+       "0  MiniLM-L-6-v2 model optimized for re-ranking t...    apache-2.0  \n",
+       "1  MiniLM-L-12-v2 model optimized for re-ranking ...    apache-2.0  \n",
+       "2  Designed for blazing-fast re-ranking with 8K c...    apache-2.0  \n",
+       "3  Designed for blazing-fast re-ranking with 8K c...    apache-2.0  \n",
+       "4  BGE reranker base model for cross-encoder re-r...           mit  \n",
+       "5  A multi-lingual reranker model for cross-encod...  cc-by-nc-4.0  "
       ]
      },
      "execution_count": 16,
@@ -834,19 +827,26 @@
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 16
+   "source": [
+    "(\n",
+    "    pd.DataFrame(TextCrossEncoder.list_supported_models())\n",
+    "    .sort_values(\"size_in_GB\")\n",
+    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .reset_index(drop=True)\n",
+    ")"
+   ]
   },
   {
-   "metadata": {},
    "cell_type": "code",
-   "outputs": [],
    "execution_count": null,
-   "source": ""
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.8.18 ('base')",
+   "display_name": "fastembed-fhXhwenq-py3.14",
    "language": "python",
    "name": "python3"
   },
@@ -860,14 +860,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.14.2"
   },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "c4a27af61e455bc18dcf16f5867a2ff0402fa12b01dd0f6ce3a79ae73ad15e91"
-   }
-  }
+  "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 2
diff --git a/poetry.lock b/poetry.lock
index d6f688a61..2e0b12283 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,19 +1,30 @@
 # This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
 
+[[package]]
+name = "annotated-doc"
+version = "0.0.4"
+description = "Document parameters, class attributes, return types, and variables inline, with Annotated."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320"},
+    {file = "annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4"},
+]
+
 [[package]]
 name = "anyio"
-version = "4.12.0"
+version = "4.12.1"
 description = "High-level concurrency and networking framework on top of asyncio or Trio"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "dev"]
 files = [
-    {file = "anyio-4.12.0-py3-none-any.whl", hash = "sha256:dad2376a628f98eeca4881fc56cd06affd18f659b17a747d3ff0307ced94b1bb"},
-    {file = "anyio-4.12.0.tar.gz", hash = "sha256:73c693b567b0c55130c104d0b43a9baf3aa6a31fc6110116509f27bf75e21ec0"},
+    {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"},
+    {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"},
 ]
 
 [package.dependencies]
-exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
@@ -128,19 +139,16 @@ test = ["astroid (>=2,<5)", "pytest (<9.0)", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "async-lru"
-version = "2.0.5"
+version = "2.2.0"
 description = "Simple LRU cache for asyncio"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
-    {file = "async_lru-2.0.5-py3-none-any.whl", hash = "sha256:ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943"},
-    {file = "async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb"},
+    {file = "async_lru-2.2.0-py3-none-any.whl", hash = "sha256:e2c1cf731eba202b59c5feedaef14ffd9d02ad0037fcda64938699f2c380eafe"},
+    {file = "async_lru-2.2.0.tar.gz", hash = "sha256:80abae2a237dbc6c60861d621619af39f0d920aea306de34cb992c879e01370c"},
 ]
 
-[package.dependencies]
-typing_extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
-
 [[package]]
 name = "attrs"
 version = "25.4.0"
@@ -155,14 +163,14 @@ files = [
 
 [[package]]
 name = "babel"
-version = "2.17.0"
+version = "2.18.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev", "docs"]
 files = [
-    {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
-    {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
+    {file = "babel-2.18.0-py3-none-any.whl", hash = "sha256:e2b422b277c2b9a9630c1d7903c2a00d0830c409c59ac8cae9081c92f1aeba35"},
+    {file = "babel-2.18.0.tar.gz", hash = "sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d"},
 ]
 
 [package.extras]
@@ -170,19 +178,19 @@ dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)"
 
 [[package]]
 name = "backrefs"
-version = "6.1"
+version = "6.2"
 description = "A wrapper around re and regex that adds additional back references."
 optional = false
 python-versions = ">=3.9"
 groups = ["docs"]
 files = [
-    {file = "backrefs-6.1-py310-none-any.whl", hash = "sha256:2a2ccb96302337ce61ee4717ceacfbf26ba4efb1d55af86564b8bbaeda39cac1"},
-    {file = "backrefs-6.1-py311-none-any.whl", hash = "sha256:e82bba3875ee4430f4de4b6db19429a27275d95a5f3773c57e9e18abc23fd2b7"},
-    {file = "backrefs-6.1-py312-none-any.whl", hash = "sha256:c64698c8d2269343d88947c0735cb4b78745bd3ba590e10313fbf3f78c34da5a"},
-    {file = "backrefs-6.1-py313-none-any.whl", hash = "sha256:4c9d3dc1e2e558965202c012304f33d4e0e477e1c103663fd2c3cc9bb18b0d05"},
-    {file = "backrefs-6.1-py314-none-any.whl", hash = "sha256:13eafbc9ccd5222e9c1f0bec563e6d2a6d21514962f11e7fc79872fd56cbc853"},
-    {file = "backrefs-6.1-py39-none-any.whl", hash = "sha256:a9e99b8a4867852cad177a6430e31b0f6e495d65f8c6c134b68c14c3c95bf4b0"},
-    {file = "backrefs-6.1.tar.gz", hash = "sha256:3bba1749aafe1db9b915f00e0dd166cba613b6f788ffd63060ac3485dc9be231"},
+    {file = "backrefs-6.2-py310-none-any.whl", hash = "sha256:0fdc7b012420b6b144410342caeb8adc54c6866cf12064abc9bb211302e496f8"},
+    {file = "backrefs-6.2-py311-none-any.whl", hash = "sha256:08aa7fae530c6b2361d7bdcbda1a7c454e330cc9dbcd03f5c23205e430e5c3be"},
+    {file = "backrefs-6.2-py312-none-any.whl", hash = "sha256:c3f4b9cb2af8cda0d87ab4f57800b57b95428488477be164dd2b47be54db0c90"},
+    {file = "backrefs-6.2-py313-none-any.whl", hash = "sha256:12df81596ab511f783b7d87c043ce26bc5b0288cf3bb03610fe76b8189282b2b"},
+    {file = "backrefs-6.2-py314-none-any.whl", hash = "sha256:e5f805ae09819caa1aa0623b4a83790e7028604aa2b8c73ba602c4454e665de7"},
+    {file = "backrefs-6.2-py39-none-any.whl", hash = "sha256:664e33cd88c6840b7625b826ecf2555f32d491800900f5a541f772c485f7cda7"},
+    {file = "backrefs-6.2.tar.gz", hash = "sha256:f44ff4d48808b243b6c0cdc6231e22195c32f77046018141556c66f8bab72a49"},
 ]
 
 [package.extras]
@@ -275,14 +283,14 @@ test = ["flake8", "isort", "pytest"]
 
 [[package]]
 name = "certifi"
-version = "2025.11.12"
+version = "2026.2.25"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "dev", "docs"]
 files = [
-    {file = "certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b"},
-    {file = "certifi-2025.11.12.tar.gz", hash = "sha256:d8ab5478f2ecd78af242878415affce761ca6bc54a22a27e026d7c25357c3316"},
+    {file = "certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa"},
+    {file = "certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7"},
 ]
 
 [[package]]
@@ -545,24 +553,6 @@ files = [
 ]
 markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "sys_platform == \"win32\"", test = "sys_platform == \"win32\""}
 
-[[package]]
-name = "coloredlogs"
-version = "15.0.1"
-description = "Colored terminal output for Python's logging module"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-files = [
-    {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
-    {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
-]
-
-[package.dependencies]
-humanfriendly = ">=9.1"
-
-[package.extras]
-cron = ["capturer (>=2.4)"]
-
 [[package]]
 name = "comm"
 version = "0.2.3"
@@ -580,14 +570,14 @@ test = ["pytest"]
 
 [[package]]
 name = "cssselect2"
-version = "0.8.0"
+version = "0.9.0"
 description = "CSS selectors for Python ElementTree"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["docs"]
 files = [
-    {file = "cssselect2-0.8.0-py3-none-any.whl", hash = "sha256:46fc70ebc41ced7a32cd42d58b1884d72ade23d21e5a4eaaf022401c13f0e76e"},
-    {file = "cssselect2-0.8.0.tar.gz", hash = "sha256:7674ffb954a3b46162392aee2a3a0aedb2e14ecf99fcc28644900f4e6e3e9d3a"},
+    {file = "cssselect2-0.9.0-py3-none-any.whl", hash = "sha256:6a99e5f91f9a016a304dd929b0966ca464bcfda15177b6fb4a118fc0fb5d9563"},
+    {file = "cssselect2-0.9.0.tar.gz", hash = "sha256:759aa22c216326356f65e62e791d66160a0f9c91d1424e8d8adc5e74dddfc6fb"},
 ]
 
 [package.dependencies]
@@ -600,42 +590,42 @@ test = ["pytest", "ruff"]
 
 [[package]]
 name = "debugpy"
-version = "1.8.17"
+version = "1.8.20"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
 files = [
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 ]
 
 [[package]]
@@ -674,25 +664,6 @@ files = [
     {file = "distlib-0.4.0.tar.gz", hash = "sha256:feec40075be03a04501a973d81f633735b4b69f98b05450592310c0f401a4e0d"},
 ]
 
-[[package]]
-name = "exceptiongroup"
-version = "1.3.1"
-description = "Backport of PEP 654 (exception groups)"
-optional = false
-python-versions = ">=3.7"
-groups = ["main", "dev", "test"]
-markers = "python_version == \"3.10\""
-files = [
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-]
-
-[package.dependencies]
-typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
-
-[package.extras]
-test = ["pytest (>=6)"]
-
 [[package]]
 name = "executing"
 version = "2.2.1"
@@ -725,26 +696,25 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "filelock"
-version = "3.20.0"
+version = "3.25.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "dev"]
 files = [
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 ]
 
 [[package]]
 name = "flatbuffers"
-version = "25.9.23"
+version = "25.12.19"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
 groups = ["main"]
 files = [
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 ]
 
 [[package]]
@@ -767,7 +737,7 @@ description = "Validates fully-qualified domain names against RFC 1123, so that
 optional = false
 python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
 groups = ["dev"]
-markers = "python_version < \"3.14\""
+markers = "python_version <= \"3.13\""
 files = [
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@@ -775,14 +745,14 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2025.12.0"
+version = "2026.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
 files = [
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+    {file = "fsspec-2026.2.0.tar.gz", hash = "sha256:6544e34b16869f5aacd5b90bdf1a71acb37792ea3ddf6125ee69a22a53fb8bff"},
 ]
 
 [package.extras]
@@ -793,9 +763,9 @@ dask = ["dask", "distributed"]
 dev = ["pre-commit", "ruff (>=0.5)"]
 doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
+full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs (>2024.2.0)", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs (>2024.2.0)", "smbprotocol", "tqdm"]
 fuse = ["fusepy"]
-gcs = ["gcsfs"]
+gcs = ["gcsfs (>2024.2.0)"]
 git = ["pygit2"]
 github = ["requests"]
 gs = ["gcsfs"]
@@ -804,13 +774,13 @@ hdfs = ["pyarrow (>=1)"]
 http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
 libarchive = ["libarchive-c"]
 oci = ["ocifs"]
-s3 = ["s3fs"]
+s3 = ["s3fs (>2024.2.0)"]
 sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
 test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
 test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
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+test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "backports-zstd ; python_version < \"3.14\"", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas (<3.0.0)", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard ; python_version < \"3.14\""]
 tqdm = ["tqdm"]
 
 [[package]]
@@ -848,14 +818,14 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.45"
+version = "3.1.46"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
 groups = ["docs"]
 files = [
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 ]
 
 [package.dependencies]
@@ -863,7 +833,7 @@ gitdb = ">=4.0.1,<5"
 
 [package.extras]
 doc = ["sphinx (>=7.1.2,<7.2)", "sphinx-autodoc-typehints", "sphinx_rtd_theme"]
-test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.8\"", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions ; python_version < \"3.11\""]
+test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock ; python_version < \"3.8\"", "mypy (==1.18.2) ; python_version >= \"3.9\"", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions ; python_version < \"3.11\""]
 
 [[package]]
 name = "h11"
@@ -879,35 +849,38 @@ files = [
 
 [[package]]
 name = "hf-xet"
-version = "1.2.0"
+version = "1.3.2"
 description = "Fast transfer of large files with the Hugging Face Hub."
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""
 files = [
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+    {file = "hf_xet-1.3.2-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:06cdbde243c85f39a63b28e9034321399c507bcd5e7befdd17ed2ccc06dfe14e"},
+    {file = "hf_xet-1.3.2-cp37-abi3-win_amd64.whl", hash = "sha256:9298b47cce6037b7045ae41482e703c471ce36b52e73e49f71226d2e8e5685a1"},
+    {file = "hf_xet-1.3.2-cp37-abi3-win_arm64.whl", hash = "sha256:83d8ec273136171431833a6957e8f3af496bee227a0fe47c7b8b39c106d1749a"},
+    {file = "hf_xet-1.3.2.tar.gz", hash = "sha256:e130ee08984783d12717444e538587fa2119385e5bd8fc2bb9f930419b73a7af"},
 ]
 
 [package.extras]
@@ -962,33 +935,32 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "1.2.1"
+version = "1.5.0"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.9.0"
 groups = ["main"]
 files = [
-    {file = "huggingface_hub-1.2.1-py3-none-any.whl", hash = "sha256:8c74a41a16156337dfa1090873ca11f8c1d7b6efcbac9f6673d008a740207e6a"},
-    {file = "huggingface_hub-1.2.1.tar.gz", hash = "sha256:1aced061fa1bd443c0ec80a4af432b8b70041d54860f7af334ceff599611a415"},
+    {file = "huggingface_hub-1.5.0-py3-none-any.whl", hash = "sha256:c9c0b3ab95a777fc91666111f3b3ede71c0cdced3614c553a64e98920585c4ee"},
+    {file = "huggingface_hub-1.5.0.tar.gz", hash = "sha256:f281838db29265880fb543de7a23b0f81d3504675de82044307ea3c6c62f799d"},
 ]
 
 [package.dependencies]
-filelock = "*"
+filelock = ">=3.10.0"
 fsspec = ">=2023.5.0"
 hf-xet = {version = ">=1.2.0,<2.0.0", markers = "platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"arm64\" or platform_machine == \"aarch64\""}
 httpx = ">=0.23.0,<1"
 packaging = ">=20.9"
 pyyaml = ">=5.1"
-shellingham = "*"
 tqdm = ">=4.42.1"
-typer-slim = "*"
-typing-extensions = ">=3.7.4.3"
+typer = "*"
+typing-extensions = ">=4.1.0"
 
 [package.extras]
 all = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 dev = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx", "itsdangerous", "jedi", "libcst (>=1.4.0)", "mypy (==1.15.0)", "numpy", "pytest (>=8.4.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures (<16.0)", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "ty", "types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-hf-xet = ["hf-xet (>=1.1.3,<2.0.0)"]
+hf-xet = ["hf-xet (>=1.2.0,<2.0.0)"]
 mcp = ["mcp (>=1.8.0)"]
 oauth = ["authlib (>=1.3.2)", "fastapi", "httpx", "itsdangerous"]
 quality = ["libcst (>=1.4.0)", "mypy (==1.15.0)", "ruff (>=0.9.0)", "ty"]
@@ -996,31 +968,16 @@ testing = ["Jinja2", "Pillow", "authlib (>=1.3.2)", "fastapi", "fastapi", "httpx
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
-[[package]]
-name = "humanfriendly"
-version = "10.0"
-description = "Human friendly output for text interfaces using Python"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-groups = ["main"]
-files = [
-    {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
-    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
-]
-
-[package.dependencies]
-pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
-
 [[package]]
 name = "identify"
-version = "2.6.15"
+version = "2.6.17"
 description = "File identification library for Python"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev"]
 files = [
-    {file = "identify-2.6.15-py2.py3-none-any.whl", hash = "sha256:1181ef7608e00704db228516541eb83a88a9f94433a8c80bb9b5bd54b1d81757"},
-    {file = "identify-2.6.15.tar.gz", hash = "sha256:e4f4864b96c6557ef2a1e1c951771838f4edc9df3a72ec7118b338801b11c7bf"},
+    {file = "identify-2.6.17-py2.py3-none-any.whl", hash = "sha256:be5f8412d5ed4b20f2bd41a65f920990bdccaa6a4a18a08f1eefdcd0bdd885f0"},
+    {file = "identify-2.6.17.tar.gz", hash = "sha256:f816b0b596b204c9fdf076ded172322f2723cf958d02f9c3587504834c8ff04d"},
 ]
 
 [package.extras]
@@ -1055,14 +1012,14 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "7.1.0"
+version = "7.2.0"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.10"
 groups = ["dev"]
 files = [
-    {file = "ipykernel-7.1.0-py3-none-any.whl", hash = "sha256:763b5ec6c5b7776f6a8d7ce09b267693b4e5ce75cb50ae696aaefb3c85e1ea4c"},
-    {file = "ipykernel-7.1.0.tar.gz", hash = "sha256:58a3fc88533d5930c3546dc7eac66c6d288acde4f801e2001e65edc5dc9cf0db"},
+    {file = "ipykernel-7.2.0-py3-none-any.whl", hash = "sha256:3bbd4420d2b3cc105cbdf3756bfc04500b1e52f090a90716851f3916c62e1661"},
+    {file = "ipykernel-7.2.0.tar.gz", hash = "sha256:18ed160b6dee2cbb16e5f3575858bc19d8f1fe6046a9a680c708494ce31d909e"},
 ]
 
 [package.dependencies]
@@ -1070,14 +1027,14 @@ appnope = {version = ">=0.1.2", markers = "platform_system == \"Darwin\""}
 comm = ">=0.1.1"
 debugpy = ">=1.6.5"
 ipython = ">=7.23.1"
-jupyter-client = ">=8.0.0"
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
+jupyter-client = ">=8.8.0"
+jupyter-core = ">=5.1,<6.0.dev0 || >=6.1.dev0"
 matplotlib-inline = ">=0.1"
 nest-asyncio = ">=1.4"
 packaging = ">=22"
 psutil = ">=5.7"
 pyzmq = ">=25"
-tornado = ">=6.2"
+tornado = ">=6.4.1"
 traitlets = ">=5.4.0"
 
 [package.extras]
@@ -1085,59 +1042,18 @@ cov = ["coverage[toml]", "matplotlib", "pytest-cov", "trio"]
 docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx (<8.2.0)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
 pyqt5 = ["pyqt5"]
 pyside6 = ["pyside6"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0,<9)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0,<10)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
-version = "8.37.0"
-description = "IPython: Productive Interactive Computing"
-optional = false
-python-versions = ">=3.10"
-groups = ["dev"]
-markers = "python_version == \"3.10\""
-files = [
-    {file = "ipython-8.37.0-py3-none-any.whl", hash = "sha256:ed87326596b878932dbcb171e3e698845434d8c61b8d8cd474bf663041a9dcf2"},
-    {file = "ipython-8.37.0.tar.gz", hash = "sha256:ca815841e1a41a1e6b73a0b08f3038af9b2252564d01fc405356d34033012216"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
-prompt_toolkit = ">=3.0.41,<3.1.0"
-pygments = ">=2.4.0"
-stack_data = "*"
-traitlets = ">=5.13.0"
-typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
-
-[package.extras]
-all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
-kernel = ["ipykernel"]
-matplotlib = ["matplotlib"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["ipywidgets", "notebook"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
-
-[[package]]
-name = "ipython"
-version = "9.8.0"
+version = "9.10.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.11"
 groups = ["dev"]
-markers = "python_version >= \"3.11\""
 files = [
-    {file = "ipython-9.8.0-py3-none-any.whl", hash = "sha256:ebe6d1d58d7d988fbf23ff8ff6d8e1622cfdb194daf4b7b73b792c4ec3b85385"},
-    {file = "ipython-9.8.0.tar.gz", hash = "sha256:8e4ce129a627eb9dd221c41b1d2cdaed4ef7c9da8c17c63f6f578fe231141f83"},
+    {file = "ipython-9.10.0-py3-none-any.whl", hash = "sha256:c6ab68cc23bba8c7e18e9b932797014cc61ea7fd6f19de180ab9ba73e65ee58d"},
+    {file = "ipython-9.10.0.tar.gz", hash = "sha256:cd9e656be97618a0676d058134cd44e6dc7012c0e5cb36a9ce96a8c904adaf77"},
 ]
 
 [package.dependencies]
@@ -1154,7 +1070,7 @@ traitlets = ">=5.13.0"
 typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
 
 [package.extras]
-all = ["ipython[doc,matplotlib,test,test-extra]"]
+all = ["argcomplete (>=3.0)", "ipython[doc,matplotlib,terminal,test,test-extra]"]
 black = ["black"]
 doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[matplotlib,test]", "setuptools (>=70.0)", "sphinx (>=8.0)", "sphinx-rtd-theme (>=0.1.8)", "sphinx_toml (==0.0.4)", "typing_extensions"]
 matplotlib = ["matplotlib (>3.9)"]
@@ -1168,7 +1084,6 @@ description = "Defines a variety of Pygments lexers for highlighting IPython cod
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
-markers = "python_version >= \"3.11\""
 files = [
     {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"},
     {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"},
@@ -1232,19 +1147,16 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "json5"
-version = "0.12.1"
+version = "0.13.0"
 description = "A Python implementation of the JSON5 data format."
 optional = false
 python-versions = ">=3.8.0"
 groups = ["dev"]
 files = [
-    {file = "json5-0.12.1-py3-none-any.whl", hash = "sha256:d9c9b3bc34a5f54d43c35e11ef7cb87d8bdd098c6ace87117a7b7e83e705c1d5"},
-    {file = "json5-0.12.1.tar.gz", hash = "sha256:b2743e77b3242f8d03c143dd975a6ec7c52e2f2afe76ed934e53503dd4ad4990"},
+    {file = "json5-0.13.0-py3-none-any.whl", hash = "sha256:9a08e1dd65f6a4d4c6fa82d216cf2477349ec2346a38fd70cc11d2557499fbcc"},
+    {file = "json5-0.13.0.tar.gz", hash = "sha256:b1edf8d487721c0bf64d83c28e91280781f6e21f4a797d3261c7c828d4c165bf"},
 ]
 
-[package.extras]
-dev = ["build (==1.2.2.post1)", "coverage (==7.5.4) ; python_version < \"3.9\"", "coverage (==7.8.0) ; python_version >= \"3.9\"", "mypy (==1.14.1) ; python_version < \"3.9\"", "mypy (==1.15.0) ; python_version >= \"3.9\"", "pip (==25.0.1)", "pylint (==3.2.7) ; python_version < \"3.9\"", "pylint (==3.3.6) ; python_version >= \"3.9\"", "ruff (==0.11.2)", "twine (==6.1.0)", "uv (==0.6.11)"]
-
 [[package]]
 name = "jsonpointer"
 version = "3.0.0"
@@ -1259,14 +1171,14 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.25.1"
+version = "4.26.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["dev", "docs"]
 files = [
-    {file = "jsonschema-4.25.1-py3-none-any.whl", hash = "sha256:3fba0169e345c7175110351d456342c364814cfcf3b964ba4587f22915230a63"},
-    {file = "jsonschema-4.25.1.tar.gz", hash = "sha256:e4a9655ce0da0c0b67a085847e00a3a51449e1157f4f75e9fb5aa545e122eb85"},
+    {file = "jsonschema-4.26.0-py3-none-any.whl", hash = "sha256:d489f15263b8d200f8387e64b4c3a75f06629559fb73deb8fdfb525f2dab50ce"},
+    {file = "jsonschema-4.26.0.tar.gz", hash = "sha256:0c26707e2efad8aa1bfc5b7ce170f3fccc2e4918ff85989ba9ffa9facb2be326"},
 ]
 
 [package.dependencies]
@@ -1280,7 +1192,7 @@ referencing = ">=0.28.4"
 rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""}
 rfc3987-syntax = {version = ">=1.1.0", optional = true, markers = "extra == \"format-nongpl\""}
-rpds-py = ">=0.7.1"
+rpds-py = ">=0.25.0"
 uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 webcolors = {version = ">=24.6.0", optional = true, markers = "extra == \"format-nongpl\""}
 
@@ -1305,14 +1217,14 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "jupyter-client"
-version = "8.7.0"
+version = "8.8.0"
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@@ -1427,14 +1340,14 @@ test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0,<9)", "pytest-console
 
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 ]
 
 [[package]]
@@ -1649,7 +1576,7 @@ description = "Python logging made (stupidly) simple"
 optional = false
 python-versions = "<4.0,>=3.5"
 groups = ["main"]
-markers = "python_version < \"3.14\""
+markers = "python_version <= \"3.13\""
 files = [
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@@ -1664,20 +1591,44 @@ dev = ["Sphinx (==8.1.3) ; python_version >= \"3.11\"", "build (==1.2.2) ; pytho
 
 [[package]]
 name = "markdown"
-version = "3.10"
+version = "3.10.2"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.10"
 groups = ["docs"]
 files = [
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+docs = ["mdx_gh_links (>=0.2)", "mkdocs (>=1.6)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python] (>=0.28.3)"]
 testing = ["coverage", "pyyaml"]
 
+[[package]]
+name = "markdown-it-py"
+version = "4.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
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+
+[package.dependencies]
+mdurl = ">=0.1,<1.0"
+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "markdown-it-pyrs", "mistletoe (>=1.0,<2.0)", "mistune (>=3.0,<4.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins (>=0.5.0)"]
+profiling = ["gprof2dot"]
+rtd = ["ipykernel", "jupyter_sphinx", "mdit-py-plugins (>=0.5.0)", "myst-parser", "pyyaml", "sphinx", "sphinx-book-theme (>=1.0,<2.0)", "sphinx-copybutton", "sphinx-design"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions", "requests"]
+
 [[package]]
 name = "markupsafe"
 version = "3.0.3"
@@ -1795,6 +1746,18 @@ traitlets = "*"
 [package.extras]
 test = ["flake8", "nbdime", "nbval", "notebook", "pytest"]
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
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 version = "1.3.4"
@@ -1809,19 +1772,16 @@ files = [
 
 [[package]]
 name = "mistune"
-version = "3.1.4"
+version = "3.2.0"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev", "docs"]
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-[package.dependencies]
-typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
-
 [[package]]
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 version = "1.6.1"
@@ -1855,14 +1815,14 @@ min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4) ; platform
 
 [[package]]
 name = "mkdocs-autorefs"
-version = "1.4.3"
+version = "1.4.4"
 description = "Automatically link across pages in MkDocs."
 optional = false
 python-versions = ">=3.9"
 groups = ["docs"]
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 ]
 
 [package.dependencies]
@@ -1889,14 +1849,14 @@ pyyaml = ">=5.1"
 
 [[package]]
 name = "mkdocs-material"
-version = "9.7.0"
+version = "9.7.4"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -1910,12 +1870,12 @@ mkdocs-material-extensions = ">=1.3"
 paginate = ">=0.5"
 pygments = ">=2.16"
 pymdown-extensions = ">=10.2"
-requests = ">=2.26"
+requests = ">=2.30"
 
 [package.extras]
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-recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.0)", "mkdocs-rss-plugin (>=1.6,<2.0)"]
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+imaging = ["cairosvg (>=2.6)", "pillow (>=10.2)"]
+recommended = ["mkdocs-minify-plugin (>=0.7)", "mkdocs-redirects (>=1.2)", "mkdocs-rss-plugin (>=1.6)"]
 
 [[package]]
 name = "mkdocs-material-extensions"
@@ -2025,7 +1985,6 @@ files = [
 
 [package.dependencies]
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@@ -2193,57 +2152,56 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
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+version = "1.19.1"
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-librt = ">=0.6.2"
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 mypy_extensions = ">=1.0.0"
 pathspec = ">=0.9.0"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 typing_extensions = ">=4.6.0"
 
 [package.extras]
@@ -2267,37 +2225,37 @@ files = [
 
 [[package]]
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+version = "0.10.4"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
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 traitlets = ">=5.4"
 
 [package.extras]
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+description = "Convert Jupyter Notebooks (.ipynb files) to other formats."
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 serve = ["tornado (>=6.1)"]
@@ -2361,31 +2319,31 @@ files = [
 
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+version = "1.10.0"
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 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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 [package.dependencies]
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 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
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 ]
 
 [package.dependencies]
-coloredlogs = "*"
 flatbuffers = "*"
 numpy = ">=1.21.6"
 packaging = "*"
@@ -2653,7 +2543,7 @@ description = "A decorator to automatically detect mismatch when overriding a me
 optional = false
 python-versions = ">=3.6"
 groups = ["dev"]
-markers = "python_version < \"3.12\""
+markers = "python_version == \"3.11\""
 files = [
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@@ -2661,14 +2551,14 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "25.0"
+version = "26.0"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "dev", "docs", "test"]
 files = [
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 ]
 
 [[package]]
@@ -2687,6 +2577,98 @@ files = [
 dev = ["pytest", "tox"]
 lint = ["black"]
 
+[[package]]
+name = "pandas"
+version = "3.0.1"
+description = "Powerful data structures for data analysis, time series, and statistics"
+optional = false
+python-versions = ">=3.11"
+groups = ["main"]
+files = [
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+timezone = ["pytz (>=2024.2)"]
+xml = ["lxml (>=5.3.0)"]
+
 [[package]]
 name = "pandocfilters"
 version = "1.5.1"
@@ -2701,32 +2683,38 @@ files = [
 
 [[package]]
 name = "parso"
-version = "0.8.5"
+version = "0.8.6"
 description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
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 [package.extras]
-qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+qa = ["flake8 (==5.0.4)", "types-setuptools (==67.2.0.1)", "zuban (==0.5.1)"]
 testing = ["docopt", "pytest"]
 
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 name = "pathspec"
-version = "0.12.1"
+version = "1.0.4"
 description = "Utility library for gitignore style pattern matching of file paths."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["docs", "types"]
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 ]
 
+[package.extras]
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+re2 = ["google-re2 (>=1.1)"]
+tests = ["pytest (>=9)", "typing-extensions (>=4.15)"]
+
 [[package]]
 name = "pexpect"
 version = "4.9.0"
@@ -2870,21 +2858,16 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.5.1"
+version = "4.9.2"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.10"
 groups = ["dev", "docs"]
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 ]
 
-[package.extras]
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-type = ["mypy (>=1.18.2)"]
-
 [[package]]
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 version = "1.6.0"
@@ -2922,17 +2905,19 @@ virtualenv = ">=20.10.0"
 
 [[package]]
 name = "prometheus-client"
-version = "0.23.1"
+version = "0.24.1"
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 python-versions = ">=3.9"
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 ]
 
 [package.extras]
+aiohttp = ["aiohttp"]
+django = ["django"]
 twisted = ["twisted"]
 
 [[package]]
@@ -2952,56 +2937,56 @@ wcwidth = "*"
 
 [[package]]
 name = "protobuf"
-version = "6.33.2"
+version = "7.34.0"
 description = ""
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main", "dev"]
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 ]
 
 [package.extras]
-dev = ["abi3audit", "black", "check-manifest", "colorama ; os_name == \"nt\"", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pyreadline ; os_name == \"nt\"", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-xdist", "pywin32 ; os_name == \"nt\" and platform_python_implementation != \"PyPy\"", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "validate-pyproject[all]", "virtualenv", "vulture", "wheel", "wheel ; os_name == \"nt\" and platform_python_implementation != \"PyPy\"", "wmi ; os_name == \"nt\" and platform_python_implementation != \"PyPy\""]
-test = ["pytest", "pytest-instafail", "pytest-subtests", "pytest-xdist", "pywin32 ; os_name == \"nt\" and platform_python_implementation != \"PyPy\"", "setuptools", "wheel ; os_name == \"nt\" and platform_python_implementation != \"PyPy\"", "wmi ; os_name == \"nt\" and platform_python_implementation != \"PyPy\""]
+dev = ["abi3audit", "black", "check-manifest", "colorama ; os_name == \"nt\"", "coverage", "packaging", "psleak", "pylint", "pyperf", "pypinfo", "pyreadline3 ; os_name == \"nt\"", "pytest", "pytest-cov", "pytest-instafail", "pytest-xdist", "pywin32 ; os_name == \"nt\" and implementation_name != \"pypy\"", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "validate-pyproject[all]", "virtualenv", "vulture", "wheel", "wheel ; os_name == \"nt\" and implementation_name != \"pypy\"", "wmi ; os_name == \"nt\" and implementation_name != \"pypy\""]
+test = ["psleak", "pytest", "pytest-instafail", "pytest-xdist", "pywin32 ; os_name == \"nt\" and implementation_name != \"pypy\"", "setuptools", "wheel ; os_name == \"nt\" and implementation_name != \"pypy\"", "wmi ; os_name == \"nt\" and implementation_name != \"pypy\""]
 
 [[package]]
 name = "ptyprocess"
@@ -3108,15 +3093,15 @@ files = [
 
 [[package]]
 name = "pycparser"
-version = "2.23"
+version = "3.0"
 description = "C parser in Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.10"
 groups = ["dev", "docs"]
 markers = "implementation_name != \"PyPy\""
 files = [
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-    {file = "pycparser-2.23.tar.gz", hash = "sha256:78816d4f24add8f10a06d6f05b4d424ad9e96cfebf68a4ddc99c65c0720d00c2"},
+    {file = "pycparser-3.0-py3-none-any.whl", hash = "sha256:b727414169a36b7d524c1c3e31839a521725078d7b2ff038656844266160a992"},
+    {file = "pycparser-3.0.tar.gz", hash = "sha256:600f49d217304a5902ac3c37e1281c9fe94e4d0489de643a9504c5cdfdfc6b29"},
 ]
 
 [[package]]
@@ -3125,7 +3110,7 @@ version = "2.19.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
-groups = ["dev", "docs"]
+groups = ["main", "dev", "docs"]
 files = [
     {file = "pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b"},
     {file = "pygments-2.19.2.tar.gz", hash = "sha256:636cb2477cec7f8952536970bc533bc43743542f70392ae026374600add5b887"},
@@ -3136,14 +3121,14 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.18"
+version = "10.21"
 description = "Extension pack for Python Markdown."
 optional = false
 python-versions = ">=3.9"
 groups = ["docs"]
 files = [
-    {file = "pymdown_extensions-10.18-py3-none-any.whl", hash = "sha256:090bca72be43f7d3186374e23c782899dbef9dc153ef24c59dcd3c346f9ffcae"},
-    {file = "pymdown_extensions-10.18.tar.gz", hash = "sha256:20252abe6367354b24191431617a072ee6be9f68c5afcc74ea5573508a61f9e5"},
+    {file = "pymdown_extensions-10.21-py3-none-any.whl", hash = "sha256:91b879f9f864d49794c2d9534372b10150e6141096c3908a455e45ca72ad9d3f"},
+    {file = "pymdown_extensions-10.21.tar.gz", hash = "sha256:39f4a020f40773f6b2ff31d2cd2546c2c04d0a6498c31d9c688d2be07e1767d5"},
 ]
 
 [package.dependencies]
@@ -3153,32 +3138,16 @@ pyyaml = "*"
 [package.extras]
 extra = ["pygments (>=2.19.1)"]
 
-[[package]]
-name = "pyreadline3"
-version = "3.5.4"
-description = "A python implementation of GNU readline."
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "sys_platform == \"win32\""
-files = [
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-]
-
-[package.extras]
-dev = ["build", "flake8", "mypy", "pytest", "twine"]
-
 [[package]]
 name = "pyright"
-version = "1.1.407"
+version = "1.1.408"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
 groups = ["types"]
 files = [
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+    {file = "pyright-1.1.408-py3-none-any.whl", hash = "sha256:090b32865f4fdb1e0e6cd82bf5618480d48eecd2eb2e70f960982a3d9a4c17c1"},
+    {file = "pyright-1.1.408.tar.gz", hash = "sha256:f28f2321f96852fa50b5829ea492f6adb0e6954568d1caa3f3af3a5f555eb684"},
 ]
 
 [package.dependencies]
@@ -3204,11 +3173,9 @@ files = [
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
 pluggy = ">=0.12,<2.0"
-tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
@@ -3219,7 +3186,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["dev", "docs"]
+groups = ["main", "dev", "docs"]
 files = [
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     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -3228,6 +3195,26 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "python-discovery"
+version = "1.1.0"
+description = "Python interpreter discovery"
+optional = false
+python-versions = ">=3.8"
+groups = ["dev"]
+files = [
+    {file = "python_discovery-1.1.0-py3-none-any.whl", hash = "sha256:a162893b8809727f54594a99ad2179d2ede4bf953e12d4c7abc3cc9cdbd1437b"},
+    {file = "python_discovery-1.1.0.tar.gz", hash = "sha256:447941ba1aed8cc2ab7ee3cb91be5fc137c5bdbb05b7e6ea62fbdcb66e50b268"},
+]
+
+[package.dependencies]
+filelock = ">=3.15.4"
+platformdirs = ">=4.3.6,<5"
+
+[package.extras]
+docs = ["furo (>=2025.12.19)", "sphinx (>=9.1)", "sphinx-autodoc-typehints (>=3.6.3)", "sphinxcontrib-mermaid (>=2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.5.4)", "pytest (>=8.3.5)", "pytest-mock (>=3.14)", "setuptools (>=75.1)"]
+
 [[package]]
 name = "python-json-logger"
 version = "4.0.0"
@@ -3245,22 +3232,29 @@ dev = ["backports.zoneinfo ; python_version < \"3.9\"", "black", "build", "freez
 
 [[package]]
 name = "pywinpty"
-version = "3.0.2"
+version = "3.0.3"
 description = "Pseudo terminal support for Windows from Python."
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
 markers = "os_name == \"nt\""
 files = [
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 [[package]]
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 [package.extras]
 testing = ["pytest (>=8.3.5)"]
 
+[[package]]
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+version = "14.3.3"
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+optional = false
+python-versions = ">=3.8.0"
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+[package.extras]
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 [[package]]
 name = "rpds-py"
 version = "0.30.0"
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 name = "ruff"
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 description = "An extremely fast Python linter and code formatter, written in Rust."
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 python-versions = ">=3.7"
 groups = ["test"]
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 ]
 
 [[package]]
 name = "send2trash"
-version = "1.8.3"
+version = "2.1.0"
 description = "Send file to trash natively under Mac OS X, Windows and Linux"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+python-versions = ">=3.8"
 groups = ["dev"]
 files = [
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 ]
 
 [package.extras]
-nativelib = ["pyobjc-framework-Cocoa ; sys_platform == \"darwin\"", "pywin32 ; sys_platform == \"win32\""]
-objc = ["pyobjc-framework-Cocoa ; sys_platform == \"darwin\""]
-win32 = ["pywin32 ; sys_platform == \"win32\""]
+nativelib = ["pyobjc (>=9.0) ; sys_platform == \"darwin\"", "pywin32 (>=305) ; sys_platform == \"win32\""]
+test = ["pytest (>=8)"]
 
 [[package]]
 name = "setuptools"
-version = "80.9.0"
+version = "82.0.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
 groups = ["dev"]
 files = [
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 ]
 
 [package.extras]
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+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.13.0) ; sys_platform != \"cygwin\""]
 core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
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 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
 test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
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+type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.18.*)", "pytest-mypy"]
 
 [[package]]
 name = "shellingham"
@@ -3760,7 +3771,7 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-groups = ["dev", "docs"]
+groups = ["main", "dev", "docs"]
 files = [
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@@ -3780,14 +3791,14 @@ files = [
 
 [[package]]
 name = "soupsieve"
-version = "2.8"
+version = "2.8.3"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.9"
 groups = ["dev", "docs"]
 files = [
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 ]
 
 [[package]]
@@ -3871,27 +3882,36 @@ test = ["pytest", "ruff"]
 
 [[package]]
 name = "tokenizers"
-version = "0.22.1"
+version = "0.22.2"
 description = ""
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 [package.dependencies]
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 [package.extras]
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 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
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+    {file = "tornado-6.5.4-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:2d50f63dda1d2cac3ae1fa23d254e16b5e38153758470e9956cbc3d813d40843"},
+    {file = "tornado-6.5.4-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1cf66105dc6acb5af613c054955b8137e34a03698aa53272dbda4afe252be17"},
+    {file = "tornado-6.5.4-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50ff0a58b0dc97939d29da29cd624da010e7f804746621c78d14b80238669335"},
+    {file = "tornado-6.5.4-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5fb5e04efa54cf0baabdd10061eb4148e0be137166146fff835745f59ab9f7f"},
+    {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9c86b1643b33a4cd415f8d0fe53045f913bf07b4a3ef646b735a6a86047dda84"},
+    {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_i686.whl", hash = "sha256:6eb82872335a53dd063a4f10917b3efd28270b56a33db69009606a0312660a6f"},
+    {file = "tornado-6.5.4-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:6076d5dda368c9328ff41ab5d9dd3608e695e8225d1cd0fd1e006f05da3635a8"},
+    {file = "tornado-6.5.4-cp39-abi3-win32.whl", hash = "sha256:1768110f2411d5cd281bac0a090f707223ce77fd110424361092859e089b38d1"},
+    {file = "tornado-6.5.4-cp39-abi3-win_amd64.whl", hash = "sha256:fa07d31e0cd85c60713f2b995da613588aa03e1303d75705dca6af8babc18ddc"},
+    {file = "tornado-6.5.4-cp39-abi3-win_arm64.whl", hash = "sha256:053e6e16701eb6cbe641f308f4c1a9541f91b6261991160391bfc342e8a551a1"},
+    {file = "tornado-6.5.4.tar.gz", hash = "sha256:a22fa9047405d03260b483980635f0b041989d8bcc9a313f8fe18b411d84b1d7"},
 ]
 
 [[package]]
 name = "tqdm"
-version = "4.67.1"
+version = "4.67.3"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
-    {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
+    {file = "tqdm-4.67.3-py3-none-any.whl", hash = "sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf"},
+    {file = "tqdm-4.67.3.tar.gz", hash = "sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb"},
 ]
 
 [package.dependencies]
@@ -4016,23 +3983,22 @@ docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
-name = "typer-slim"
-version = "0.20.0"
+name = "typer"
+version = "0.24.1"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.10"
 groups = ["main"]
 files = [
-    {file = "typer_slim-0.20.0-py3-none-any.whl", hash = "sha256:f42a9b7571a12b97dddf364745d29f12221865acef7a2680065f9bb29c7dc89d"},
-    {file = "typer_slim-0.20.0.tar.gz", hash = "sha256:9fc6607b3c6c20f5c33ea9590cbeb17848667c51feee27d9e314a579ab07d1a3"},
+    {file = "typer-0.24.1-py3-none-any.whl", hash = "sha256:112c1f0ce578bfb4cab9ffdabc68f031416ebcc216536611ba21f04e9aa84c9e"},
+    {file = "typer-0.24.1.tar.gz", hash = "sha256:e39b4732d65fbdcde189ae76cf7cd48aeae72919dea1fdfc16593be016256b45"},
 ]
 
 [package.dependencies]
-click = ">=8.0.0"
-typing-extensions = ">=3.7.4.3"
-
-[package.extras]
-standard = ["rich (>=10.11.0)", "shellingham (>=1.3.0)"]
+annotated-doc = ">=0.0.2"
+click = ">=8.2.1"
+rich = ">=12.3.0"
+shellingham = ">=1.3.0"
 
 [[package]]
 name = "typing-extensions"
@@ -4040,24 +4006,24 @@ version = "4.15.0"
 description = "Backported and Experimental Type Hints for Python 3.9+"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev", "docs", "test", "types"]
+groups = ["main", "dev", "docs", "types"]
 files = [
     {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"},
     {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"},
 ]
-markers = {test = "python_version == \"3.10\""}
 
 [[package]]
 name = "tzdata"
-version = "2025.2"
+version = "2025.3"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
-    {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"},
-    {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"},
+    {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
+    {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},
 ]
+markers = {main = "sys_platform == \"win32\" or sys_platform == \"emscripten\""}
 
 [[package]]
 name = "uri-template"
@@ -4076,14 +4042,14 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.6.1"
+version = "2.6.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "dev", "docs"]
 files = [
-    {file = "urllib3-2.6.1-py3-none-any.whl", hash = "sha256:e67d06fe947c36a7ca39f4994b08d73922d40e6cca949907be05efa6fd75110b"},
-    {file = "urllib3-2.6.1.tar.gz", hash = "sha256:5379eb6e1aba4088bae84f8242960017ec8d8e3decf30480b3a1abdaa9671a3f"},
+    {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"},
+    {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"},
 ]
 
 [package.extras]
@@ -4094,25 +4060,21 @@ zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""]
 
 [[package]]
 name = "virtualenv"
-version = "20.35.4"
+version = "21.1.0"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
 groups = ["dev"]
 files = [
-    {file = "virtualenv-20.35.4-py3-none-any.whl", hash = "sha256:c21c9cede36c9753eeade68ba7d523529f228a403463376cf821eaae2b650f1b"},
-    {file = "virtualenv-20.35.4.tar.gz", hash = "sha256:643d3914d73d3eeb0c552cbb12d7e82adf0e504dbf86a3182f8771a153a1971c"},
+    {file = "virtualenv-21.1.0-py3-none-any.whl", hash = "sha256:164f5e14c5587d170cf98e60378eb91ea35bf037be313811905d3a24ea33cc07"},
+    {file = "virtualenv-21.1.0.tar.gz", hash = "sha256:1990a0188c8f16b6b9cf65c9183049007375b26aad415514d377ccacf1e4fb44"},
 ]
 
 [package.dependencies]
 distlib = ">=0.3.7,<1"
-filelock = ">=3.12.2,<4"
+filelock = {version = ">=3.24.2,<4", markers = "python_version >= \"3.10\""}
 platformdirs = ">=3.9.1,<5"
-typing-extensions = {version = ">=4.13.2", markers = "python_version < \"3.11\""}
-
-[package.extras]
-docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
+python-discovery = ">=1"
 
 [[package]]
 name = "watchdog"
@@ -4159,14 +4121,14 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.14"
+version = "0.6.0"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 groups = ["dev"]
 files = [
-    {file = "wcwidth-0.2.14-py2.py3-none-any.whl", hash = "sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1"},
-    {file = "wcwidth-0.2.14.tar.gz", hash = "sha256:4d478375d31bc5395a3c55c40ccdf3354688364cd61c4f6adacaa9215d0b3605"},
+    {file = "wcwidth-0.6.0-py3-none-any.whl", hash = "sha256:1a3a1e510b553315f8e146c54764f4fb6264ffad731b3d78088cdb1478ffbdad"},
+    {file = "wcwidth-0.6.0.tar.gz", hash = "sha256:cdc4e4262d6ef9a1a57e018384cbeb1208d8abbc64176027e2c2455c81313159"},
 ]
 
 [[package]]
@@ -4228,5 +4190,5 @@ dev = ["black (>=19.3b0) ; python_version >= \"3.6\"", "pytest (>=4.6.2)"]
 
 [metadata]
 lock-version = "2.1"
-python-versions = ">=3.10.0"
-content-hash = "cdceed9de4790023c96f06433d9e31c3b72c4562eed63c46f08e7388efb9b349"
+python-versions = ">=3.11.0"
+content-hash = "72603a2977897463af30f5eeabe54b0b41051150c8a3b7ed0e2e00af73dc0c3e"
diff --git a/pyproject.toml b/pyproject.toml
index 3b72a3053..efa45fe08 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,7 +11,7 @@ repository = "https://github.com/qdrant/fastembed"
 keywords = ["vector", "embedding", "neural", "search", "qdrant", "sentence-transformers"]
 
 [tool.poetry.dependencies]
-python = ">=3.10.0"
+python = ">=3.11.0"
 numpy = [
     { version = ">=1.21,<2.3.0", python = ">=3.10,<3.11" },
     { version = ">=1.21", python = ">=3.11,<3.12" },
@@ -20,7 +20,7 @@ numpy = [
     { version = ">=2.3.0", python = ">=3.14" },
 ]
 onnxruntime = [
-    { version = ">1.20.0", python = ">=3.13" },
+    { version = "^1.24.2", python = ">=3.13" },
     { version = ">=1.17.0,!=1.20.0", python = ">=3.10,<3.13" },
 ]
 tqdm = "^4.66"
@@ -35,6 +35,7 @@ pillow = [
 ]
 mmh3 = ">=4.1.0,<6.0.0"
 py-rust-stemmers = "^0.1.0"
+pandas = "^3.0.1"
 
 [tool.poetry.group.test.dependencies]
 pytest = "^7.4.2"

From 96e0127988227131d30333ea10c0ac9cd6a3320b Mon Sep 17 00:00:00 2001
From: wilyJ80 <abjurandam@gmail.com>
Date: Wed, 4 Mar 2026 11:36:36 -0300
Subject: [PATCH 2/3] feat: update supported model list

---
 docs/examples/Supported_Models.ipynb | 498 ++++++++++++++++-----------
 1 file changed, 301 insertions(+), 197 deletions(-)

diff --git a/docs/examples/Supported_Models.ipynb b/docs/examples/Supported_Models.ipynb
index 1ffbaf81a..bad795b9e 100644
--- a/docs/examples/Supported_Models.ipynb
+++ b/docs/examples/Supported_Models.ipynb
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:05.812271Z",
@@ -85,274 +85,356 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>dim</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
        "      <th>size_in_GB</th>\n",
+       "      <th>dim</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>BAAI/bge-small-en-v1.5</td>\n",
-       "      <td>384</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.067</td>\n",
+       "      <td>384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>BAAI/bge-small-zh-v1.5</td>\n",
-       "      <td>512</td>\n",
        "      <td>Text embeddings, Unimodal (text), Chinese, 512...</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.090</td>\n",
+       "      <td>512</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>snowflake/snowflake-arctic-embed-xs</td>\n",
-       "      <td>384</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.090</td>\n",
+       "      <td>384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>sentence-transformers/all-MiniLM-L6-v2</td>\n",
-       "      <td>384</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 256...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.090</td>\n",
+       "      <td>384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>jinaai/jina-embeddings-v2-small-en</td>\n",
-       "      <td>512</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 819...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.120</td>\n",
+       "      <td>512</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>BAAI/bge-small-en</td>\n",
-       "      <td>384</td>\n",
+       "      <td>snowflake/snowflake-arctic-embed-s</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
-       "      <td>mit</td>\n",
+       "      <td>apache-2.0</td>\n",
        "      <td>0.130</td>\n",
+       "      <td>384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>snowflake/snowflake-arctic-embed-s</td>\n",
-       "      <td>384</td>\n",
-       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>nomic-ai/nomic-embed-text-v1.5-Q</td>\n",
+       "      <td>Text embeddings, Multimodal (text, image), Eng...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.130</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>nomic-ai/nomic-embed-text-v1.5-Q</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Text embeddings, Multimodal (text, image), Eng...</td>\n",
-       "      <td>apache-2.0</td>\n",
+       "      <td>BAAI/bge-small-en</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
+       "      <td>mit</td>\n",
        "      <td>0.130</td>\n",
+       "      <td>384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>BAAI/bge-base-en-v1.5</td>\n",
-       "      <td>768</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.210</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>sentence-transformers/paraphrase-multilingual-...</td>\n",
-       "      <td>384</td>\n",
        "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.220</td>\n",
+       "      <td>384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>Qdrant/clip-ViT-B-32-text</td>\n",
-       "      <td>512</td>\n",
        "      <td>Text embeddings, Multimodal (text&amp;image), Engl...</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.250</td>\n",
+       "      <td>512</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>jinaai/jina-embeddings-v2-base-de</td>\n",
-       "      <td>768</td>\n",
        "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.320</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td>BAAI/bge-base-en</td>\n",
-       "      <td>768</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.420</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td>snowflake/snowflake-arctic-embed-m</td>\n",
-       "      <td>768</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.430</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
-       "      <td>nomic-ai/nomic-embed-text-v1.5</td>\n",
+       "      <td>thenlper/gte-base</td>\n",
+       "      <td>General text embeddings, Unimodal (text), supp...</td>\n",
+       "      <td>mit</td>\n",
+       "      <td>0.440</td>\n",
        "      <td>768</td>\n",
-       "      <td>Text embeddings, Multimodal (text, image), Eng...</td>\n",
-       "      <td>apache-2.0</td>\n",
-       "      <td>0.520</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>jinaai/jina-embeddings-v2-base-en</td>\n",
-       "      <td>768</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 819...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.520</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
-       "      <td>nomic-ai/nomic-embed-text-v1</td>\n",
-       "      <td>768</td>\n",
+       "      <td>nomic-ai/nomic-embed-text-v1.5</td>\n",
        "      <td>Text embeddings, Multimodal (text, image), Eng...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.520</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
-       "      <td>snowflake/snowflake-arctic-embed-m-long</td>\n",
+       "      <td>nomic-ai/nomic-embed-text-v1</td>\n",
+       "      <td>Text embeddings, Multimodal (text, image), Eng...</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.520</td>\n",
        "      <td>768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>snowflake/snowflake-arctic-embed-m-long</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 204...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.540</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18</th>\n",
+       "      <th>19</th>\n",
+       "      <td>jinaai/jina-clip-v1</td>\n",
+       "      <td>Text embeddings, Multimodal (text&amp;image), Engl...</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.550</td>\n",
+       "      <td>768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>jinaai/jina-embeddings-v2-base-code</td>\n",
+       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.640</td>\n",
+       "      <td>768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>jinaai/jina-embeddings-v2-base-es</td>\n",
+       "      <td>Text embeddings, Unimodal (text), supports mix...</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.640</td>\n",
+       "      <td>768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
        "      <td>mixedbread-ai/mxbai-embed-large-v1</td>\n",
-       "      <td>1024</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.640</td>\n",
+       "      <td>1024</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>jinaai/jina-embeddings-v2-base-code</td>\n",
-       "      <td>768</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
+       "      <th>23</th>\n",
+       "      <td>jinaai/jina-embeddings-v2-base-zh</td>\n",
+       "      <td>Text embeddings, Unimodal (text), supports mix...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.640</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20</th>\n",
+       "      <th>24</th>\n",
        "      <td>sentence-transformers/paraphrase-multilingual-...</td>\n",
-       "      <td>768</td>\n",
        "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>1.000</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>21</th>\n",
+       "      <th>25</th>\n",
        "      <td>snowflake/snowflake-arctic-embed-l</td>\n",
-       "      <td>1024</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>1.020</td>\n",
+       "      <td>1024</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>thenlper/gte-large</td>\n",
-       "      <td>1024</td>\n",
+       "      <th>26</th>\n",
+       "      <td>BAAI/bge-large-en-v1.5</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>mit</td>\n",
        "      <td>1.200</td>\n",
+       "      <td>1024</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>BAAI/bge-large-en-v1.5</td>\n",
-       "      <td>1024</td>\n",
+       "      <th>27</th>\n",
+       "      <td>thenlper/gte-large</td>\n",
        "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>mit</td>\n",
        "      <td>1.200</td>\n",
+       "      <td>1024</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>24</th>\n",
+       "      <th>28</th>\n",
        "      <td>intfloat/multilingual-e5-large</td>\n",
-       "      <td>1024</td>\n",
        "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
        "      <td>mit</td>\n",
        "      <td>2.240</td>\n",
+       "      <td>1024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>jinaai/jina-embeddings-v3</td>\n",
+       "      <td>Multi-task unimodal (text) embedding model, mu...</td>\n",
+       "      <td>cc-by-nc-4.0</td>\n",
+       "      <td>2.290</td>\n",
+       "      <td>1024</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                                model   dim  \\\n",
-       "0                              BAAI/bge-small-en-v1.5   384   \n",
-       "1                              BAAI/bge-small-zh-v1.5   512   \n",
-       "2                 snowflake/snowflake-arctic-embed-xs   384   \n",
-       "3              sentence-transformers/all-MiniLM-L6-v2   384   \n",
-       "4                  jinaai/jina-embeddings-v2-small-en   512   \n",
-       "5                                   BAAI/bge-small-en   384   \n",
-       "6                  snowflake/snowflake-arctic-embed-s   384   \n",
-       "7                    nomic-ai/nomic-embed-text-v1.5-Q   768   \n",
-       "8                               BAAI/bge-base-en-v1.5   768   \n",
-       "9   sentence-transformers/paraphrase-multilingual-...   384   \n",
-       "10                          Qdrant/clip-ViT-B-32-text   512   \n",
-       "11                  jinaai/jina-embeddings-v2-base-de   768   \n",
-       "12                                   BAAI/bge-base-en   768   \n",
-       "13                 snowflake/snowflake-arctic-embed-m   768   \n",
-       "14                     nomic-ai/nomic-embed-text-v1.5   768   \n",
-       "15                  jinaai/jina-embeddings-v2-base-en   768   \n",
-       "16                       nomic-ai/nomic-embed-text-v1   768   \n",
-       "17            snowflake/snowflake-arctic-embed-m-long   768   \n",
-       "18                 mixedbread-ai/mxbai-embed-large-v1  1024   \n",
-       "19                jinaai/jina-embeddings-v2-base-code   768   \n",
-       "20  sentence-transformers/paraphrase-multilingual-...   768   \n",
-       "21                 snowflake/snowflake-arctic-embed-l  1024   \n",
-       "22                                 thenlper/gte-large  1024   \n",
-       "23                             BAAI/bge-large-en-v1.5  1024   \n",
-       "24                     intfloat/multilingual-e5-large  1024   \n",
+       "                                                model  \\\n",
+       "0                              BAAI/bge-small-en-v1.5   \n",
+       "1                              BAAI/bge-small-zh-v1.5   \n",
+       "2                 snowflake/snowflake-arctic-embed-xs   \n",
+       "3              sentence-transformers/all-MiniLM-L6-v2   \n",
+       "4                  jinaai/jina-embeddings-v2-small-en   \n",
+       "5                  snowflake/snowflake-arctic-embed-s   \n",
+       "6                    nomic-ai/nomic-embed-text-v1.5-Q   \n",
+       "7                                   BAAI/bge-small-en   \n",
+       "8                               BAAI/bge-base-en-v1.5   \n",
+       "9   sentence-transformers/paraphrase-multilingual-...   \n",
+       "10                          Qdrant/clip-ViT-B-32-text   \n",
+       "11                  jinaai/jina-embeddings-v2-base-de   \n",
+       "12                                   BAAI/bge-base-en   \n",
+       "13                 snowflake/snowflake-arctic-embed-m   \n",
+       "14                                  thenlper/gte-base   \n",
+       "15                  jinaai/jina-embeddings-v2-base-en   \n",
+       "16                     nomic-ai/nomic-embed-text-v1.5   \n",
+       "17                       nomic-ai/nomic-embed-text-v1   \n",
+       "18            snowflake/snowflake-arctic-embed-m-long   \n",
+       "19                                jinaai/jina-clip-v1   \n",
+       "20                jinaai/jina-embeddings-v2-base-code   \n",
+       "21                  jinaai/jina-embeddings-v2-base-es   \n",
+       "22                 mixedbread-ai/mxbai-embed-large-v1   \n",
+       "23                  jinaai/jina-embeddings-v2-base-zh   \n",
+       "24  sentence-transformers/paraphrase-multilingual-...   \n",
+       "25                 snowflake/snowflake-arctic-embed-l   \n",
+       "26                             BAAI/bge-large-en-v1.5   \n",
+       "27                                 thenlper/gte-large   \n",
+       "28                     intfloat/multilingual-e5-large   \n",
+       "29                          jinaai/jina-embeddings-v3   \n",
+       "\n",
+       "                                          description       license  \\\n",
+       "0   Text embeddings, Unimodal (text), English, 512...           mit   \n",
+       "1   Text embeddings, Unimodal (text), Chinese, 512...           mit   \n",
+       "2   Text embeddings, Unimodal (text), English, 512...    apache-2.0   \n",
+       "3   Text embeddings, Unimodal (text), English, 256...    apache-2.0   \n",
+       "4   Text embeddings, Unimodal (text), English, 819...    apache-2.0   \n",
+       "5   Text embeddings, Unimodal (text), English, 512...    apache-2.0   \n",
+       "6   Text embeddings, Multimodal (text, image), Eng...    apache-2.0   \n",
+       "7   Text embeddings, Unimodal (text), English, 512...           mit   \n",
+       "8   Text embeddings, Unimodal (text), English, 512...           mit   \n",
+       "9   Text embeddings, Unimodal (text), Multilingual...    apache-2.0   \n",
+       "10  Text embeddings, Multimodal (text&image), Engl...           mit   \n",
+       "11  Text embeddings, Unimodal (text), Multilingual...    apache-2.0   \n",
+       "12  Text embeddings, Unimodal (text), English, 512...           mit   \n",
+       "13  Text embeddings, Unimodal (text), English, 512...    apache-2.0   \n",
+       "14  General text embeddings, Unimodal (text), supp...           mit   \n",
+       "15  Text embeddings, Unimodal (text), English, 819...    apache-2.0   \n",
+       "16  Text embeddings, Multimodal (text, image), Eng...    apache-2.0   \n",
+       "17  Text embeddings, Multimodal (text, image), Eng...    apache-2.0   \n",
+       "18  Text embeddings, Unimodal (text), English, 204...    apache-2.0   \n",
+       "19  Text embeddings, Multimodal (text&image), Engl...    apache-2.0   \n",
+       "20  Text embeddings, Unimodal (text), Multilingual...    apache-2.0   \n",
+       "21  Text embeddings, Unimodal (text), supports mix...    apache-2.0   \n",
+       "22  Text embeddings, Unimodal (text), English, 512...    apache-2.0   \n",
+       "23  Text embeddings, Unimodal (text), supports mix...    apache-2.0   \n",
+       "24  Text embeddings, Unimodal (text), Multilingual...    apache-2.0   \n",
+       "25  Text embeddings, Unimodal (text), English, 512...    apache-2.0   \n",
+       "26  Text embeddings, Unimodal (text), English, 512...           mit   \n",
+       "27  Text embeddings, Unimodal (text), English, 512...           mit   \n",
+       "28  Text embeddings, Unimodal (text), Multilingual...           mit   \n",
+       "29  Multi-task unimodal (text) embedding model, mu...  cc-by-nc-4.0   \n",
        "\n",
-       "                                          description     license  size_in_GB  \n",
-       "0   Text embeddings, Unimodal (text), English, 512...         mit       0.067  \n",
-       "1   Text embeddings, Unimodal (text), Chinese, 512...         mit       0.090  \n",
-       "2   Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.090  \n",
-       "3   Text embeddings, Unimodal (text), English, 256...  apache-2.0       0.090  \n",
-       "4   Text embeddings, Unimodal (text), English, 819...  apache-2.0       0.120  \n",
-       "5   Text embeddings, Unimodal (text), English, 512...         mit       0.130  \n",
-       "6   Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.130  \n",
-       "7   Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.130  \n",
-       "8   Text embeddings, Unimodal (text), English, 512...         mit       0.210  \n",
-       "9   Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.220  \n",
-       "10  Text embeddings, Multimodal (text&image), Engl...         mit       0.250  \n",
-       "11  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.320  \n",
-       "12  Text embeddings, Unimodal (text), English, 512...         mit       0.420  \n",
-       "13  Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.430  \n",
-       "14  Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.520  \n",
-       "15  Text embeddings, Unimodal (text), English, 819...  apache-2.0       0.520  \n",
-       "16  Text embeddings, Multimodal (text, image), Eng...  apache-2.0       0.520  \n",
-       "17  Text embeddings, Unimodal (text), English, 204...  apache-2.0       0.540  \n",
-       "18  Text embeddings, Unimodal (text), English, 512...  apache-2.0       0.640  \n",
-       "19  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       0.640  \n",
-       "20  Text embeddings, Unimodal (text), Multilingual...  apache-2.0       1.000  \n",
-       "21  Text embeddings, Unimodal (text), English, 512...  apache-2.0       1.020  \n",
-       "22  Text embeddings, Unimodal (text), English, 512...         mit       1.200  \n",
-       "23  Text embeddings, Unimodal (text), English, 512...         mit       1.200  \n",
-       "24  Text embeddings, Unimodal (text), Multilingual...         mit       2.240  "
+       "    size_in_GB   dim  \n",
+       "0        0.067   384  \n",
+       "1        0.090   512  \n",
+       "2        0.090   384  \n",
+       "3        0.090   384  \n",
+       "4        0.120   512  \n",
+       "5        0.130   384  \n",
+       "6        0.130   768  \n",
+       "7        0.130   384  \n",
+       "8        0.210   768  \n",
+       "9        0.220   384  \n",
+       "10       0.250   512  \n",
+       "11       0.320   768  \n",
+       "12       0.420   768  \n",
+       "13       0.430   768  \n",
+       "14       0.440   768  \n",
+       "15       0.520   768  \n",
+       "16       0.520   768  \n",
+       "17       0.520   768  \n",
+       "18       0.540   768  \n",
+       "19       0.550   768  \n",
+       "20       0.640   768  \n",
+       "21       0.640   768  \n",
+       "22       0.640  1024  \n",
+       "23       0.640   768  \n",
+       "24       1.000   768  \n",
+       "25       1.020  1024  \n",
+       "26       1.200  1024  \n",
+       "27       1.200  1024  \n",
+       "28       2.240  1024  \n",
+       "29       2.290  1024  "
       ]
      },
-     "execution_count": 12,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -361,7 +443,7 @@
     "supported_models = (\n",
     "    pd.DataFrame(TextEmbedding.list_supported_models())\n",
     "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
+    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\", \"tasks\"])\n",
     "    .reset_index(drop=True)\n",
     ")\n",
     "supported_models"
@@ -376,7 +458,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 8,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:07.038954Z",
@@ -406,75 +488,87 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>vocab_size</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
        "      <th>size_in_GB</th>\n",
        "      <th>requires_idf</th>\n",
+       "      <th>vocab_size</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Qdrant/bm25</td>\n",
-       "      <td>NaN</td>\n",
        "      <td>BM25 as sparse embeddings meant to be used wit...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.010</td>\n",
        "      <td>True</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Qdrant/bm42-all-minilm-l6-v2-attentions</td>\n",
-       "      <td>30522.0</td>\n",
        "      <td>Light sparse embedding model, which assigns an...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.090</td>\n",
        "      <td>True</td>\n",
+       "      <td>30522</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>prithivida/Splade_PP_en_v1</td>\n",
-       "      <td>30522.0</td>\n",
-       "      <td>Independent Implementation of SPLADE++ Model f...</td>\n",
+       "      <td>Qdrant/minicoil-v1</td>\n",
+       "      <td>Sparse embedding model, that resolves semantic...</td>\n",
        "      <td>apache-2.0</td>\n",
-       "      <td>0.532</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>0.090</td>\n",
+       "      <td>True</td>\n",
+       "      <td>19125</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>prithvida/Splade_PP_en_v1</td>\n",
-       "      <td>30522.0</td>\n",
        "      <td>Independent Implementation of SPLADE++ Model f...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.532</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30522</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>prithivida/Splade_PP_en_v1</td>\n",
+       "      <td>Independent Implementation of SPLADE++ Model f...</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.532</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30522</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                     model  vocab_size  \\\n",
-       "0                              Qdrant/bm25         NaN   \n",
-       "1  Qdrant/bm42-all-minilm-l6-v2-attentions     30522.0   \n",
-       "2               prithivida/Splade_PP_en_v1     30522.0   \n",
-       "3                prithvida/Splade_PP_en_v1     30522.0   \n",
+       "                                     model  \\\n",
+       "0                              Qdrant/bm25   \n",
+       "1  Qdrant/bm42-all-minilm-l6-v2-attentions   \n",
+       "2                       Qdrant/minicoil-v1   \n",
+       "3                prithvida/Splade_PP_en_v1   \n",
+       "4               prithivida/Splade_PP_en_v1   \n",
        "\n",
        "                                         description     license  size_in_GB  \\\n",
        "0  BM25 as sparse embeddings meant to be used wit...  apache-2.0       0.010   \n",
        "1  Light sparse embedding model, which assigns an...  apache-2.0       0.090   \n",
-       "2  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
+       "2  Sparse embedding model, that resolves semantic...  apache-2.0       0.090   \n",
        "3  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
+       "4  Independent Implementation of SPLADE++ Model f...  apache-2.0       0.532   \n",
        "\n",
-       "  requires_idf  \n",
-       "0         True  \n",
-       "1         True  \n",
-       "2          NaN  \n",
-       "3          NaN  "
+       "  requires_idf  vocab_size  \n",
+       "0         True           0  \n",
+       "1         True       30522  \n",
+       "2         True       19125  \n",
+       "3         None       30522  \n",
+       "4         None       30522  "
       ]
      },
-     "execution_count": 13,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -499,7 +593,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:08.074442Z",
@@ -530,63 +624,63 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>dim</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
        "      <th>size_in_GB</th>\n",
        "      <th>additional_files</th>\n",
+       "      <th>dim</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>answerdotai/answerai-colbert-small-v1</td>\n",
-       "      <td>96</td>\n",
-       "      <td>Text embeddings, Unimodal (text), Multilingual...</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.13</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>96</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>colbert-ir/colbertv2.0</td>\n",
-       "      <td>128</td>\n",
-       "      <td>Late interaction model</td>\n",
+       "      <td>Text embeddings, Unimodal (text), English, 512...</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.44</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>128</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>jinaai/jina-colbert-v2</td>\n",
-       "      <td>128</td>\n",
        "      <td>New model that expands capabilities of colbert...</td>\n",
        "      <td>cc-by-nc-4.0</td>\n",
        "      <td>2.24</td>\n",
        "      <td>[onnx/model.onnx_data]</td>\n",
+       "      <td>128</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                   model  dim  \\\n",
-       "0  answerdotai/answerai-colbert-small-v1   96   \n",
-       "1                 colbert-ir/colbertv2.0  128   \n",
-       "2                 jinaai/jina-colbert-v2  128   \n",
+       "                                   model  \\\n",
+       "0  answerdotai/answerai-colbert-small-v1   \n",
+       "1                 colbert-ir/colbertv2.0   \n",
+       "2                 jinaai/jina-colbert-v2   \n",
        "\n",
        "                                         description       license  \\\n",
-       "0  Text embeddings, Unimodal (text), Multilingual...    apache-2.0   \n",
-       "1                             Late interaction model           mit   \n",
+       "0  Text embeddings, Unimodal (text), English, 512...    apache-2.0   \n",
+       "1  Text embeddings, Unimodal (text), English, 512...           mit   \n",
        "2  New model that expands capabilities of colbert...  cc-by-nc-4.0   \n",
        "\n",
-       "   size_in_GB        additional_files  \n",
-       "0        0.13                     NaN  \n",
-       "1        0.44                     NaN  \n",
-       "2        2.24  [onnx/model.onnx_data]  "
+       "   size_in_GB        additional_files  dim  \n",
+       "0        0.13                      []   96  \n",
+       "1        0.44                      []  128  \n",
+       "2        2.24  [onnx/model.onnx_data]  128  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -595,7 +689,7 @@
     "(\n",
     "    pd.DataFrame(LateInteractionTextEmbedding.list_supported_models())\n",
     "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .drop(columns=[\"sources\", \"model_file\", \"tasks\"])\n",
     "    .reset_index(drop=True)\n",
     ")"
    ]
@@ -611,7 +705,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:09.171647Z",
@@ -642,64 +736,81 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>dim</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
        "      <th>size_in_GB</th>\n",
+       "      <th>dim</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Qdrant/resnet50-onnx</td>\n",
-       "      <td>2048</td>\n",
        "      <td>Image embeddings, Unimodal (image), 2016 year</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.10</td>\n",
+       "      <td>2048</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Qdrant/clip-ViT-B-32-vision</td>\n",
-       "      <td>512</td>\n",
        "      <td>Image embeddings, Multimodal (text&amp;image), 202...</td>\n",
        "      <td>mit</td>\n",
        "      <td>0.34</td>\n",
+       "      <td>512</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
+       "      <td>jinaai/jina-clip-v1</td>\n",
+       "      <td>Image embeddings, Multimodal (text&amp;image), 202...</td>\n",
+       "      <td>apache-2.0</td>\n",
+       "      <td>0.34</td>\n",
+       "      <td>768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
        "      <td>Qdrant/Unicom-ViT-B-32</td>\n",
-       "      <td>512</td>\n",
        "      <td>Image embeddings, Multimodal (text&amp;image), 202...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.48</td>\n",
+       "      <td>512</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>4</th>\n",
        "      <td>Qdrant/Unicom-ViT-B-16</td>\n",
-       "      <td>768</td>\n",
        "      <td>Image embeddings (more detailed than Unicom-Vi...</td>\n",
        "      <td>apache-2.0</td>\n",
        "      <td>0.82</td>\n",
+       "      <td>768</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                         model   dim  \\\n",
-       "0         Qdrant/resnet50-onnx  2048   \n",
-       "1  Qdrant/clip-ViT-B-32-vision   512   \n",
-       "2       Qdrant/Unicom-ViT-B-32   512   \n",
-       "3       Qdrant/Unicom-ViT-B-16   768   \n",
+       "                         model  \\\n",
+       "0         Qdrant/resnet50-onnx   \n",
+       "1  Qdrant/clip-ViT-B-32-vision   \n",
+       "2          jinaai/jina-clip-v1   \n",
+       "3       Qdrant/Unicom-ViT-B-32   \n",
+       "4       Qdrant/Unicom-ViT-B-16   \n",
+       "\n",
+       "                                         description     license  size_in_GB  \\\n",
+       "0      Image embeddings, Unimodal (image), 2016 year  apache-2.0        0.10   \n",
+       "1  Image embeddings, Multimodal (text&image), 202...         mit        0.34   \n",
+       "2  Image embeddings, Multimodal (text&image), 202...  apache-2.0        0.34   \n",
+       "3  Image embeddings, Multimodal (text&image), 202...  apache-2.0        0.48   \n",
+       "4  Image embeddings (more detailed than Unicom-Vi...  apache-2.0        0.82   \n",
        "\n",
-       "                                         description     license  size_in_GB  \n",
-       "0      Image embeddings, Unimodal (image), 2016 year  apache-2.0        0.10  \n",
-       "1  Image embeddings, Multimodal (text&image), 202...         mit        0.34  \n",
-       "2  Image embeddings, Multimodal (text&image), 202...  apache-2.0        0.48  \n",
-       "3  Image embeddings (more detailed than Unicom-Vi...  apache-2.0        0.82  "
+       "    dim  \n",
+       "0  2048  \n",
+       "1   512  \n",
+       "2   768  \n",
+       "3   512  \n",
+       "4   768  "
       ]
      },
-     "execution_count": 15,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -708,7 +819,7 @@
     "(\n",
     "    pd.DataFrame(ImageEmbedding.list_supported_models())\n",
     "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .drop(columns=[\"sources\", \"model_file\", \"tasks\", \"additional_files\"])\n",
     "    .reset_index(drop=True)\n",
     ")"
    ]
@@ -722,7 +833,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2024-11-13T09:01:10.313943Z",
@@ -752,77 +863,77 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>model</th>\n",
-       "      <th>size_in_GB</th>\n",
        "      <th>description</th>\n",
        "      <th>license</th>\n",
+       "      <th>size_in_GB</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Xenova/ms-marco-MiniLM-L-6-v2</td>\n",
-       "      <td>0.08</td>\n",
        "      <td>MiniLM-L-6-v2 model optimized for re-ranking t...</td>\n",
        "      <td>apache-2.0</td>\n",
+       "      <td>0.08</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Xenova/ms-marco-MiniLM-L-12-v2</td>\n",
-       "      <td>0.12</td>\n",
        "      <td>MiniLM-L-12-v2 model optimized for re-ranking ...</td>\n",
        "      <td>apache-2.0</td>\n",
+       "      <td>0.12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>jinaai/jina-reranker-v1-tiny-en</td>\n",
-       "      <td>0.13</td>\n",
        "      <td>Designed for blazing-fast re-ranking with 8K c...</td>\n",
        "      <td>apache-2.0</td>\n",
+       "      <td>0.13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>jinaai/jina-reranker-v1-turbo-en</td>\n",
-       "      <td>0.15</td>\n",
        "      <td>Designed for blazing-fast re-ranking with 8K c...</td>\n",
        "      <td>apache-2.0</td>\n",
+       "      <td>0.15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>BAAI/bge-reranker-base</td>\n",
-       "      <td>1.04</td>\n",
        "      <td>BGE reranker base model for cross-encoder re-r...</td>\n",
        "      <td>mit</td>\n",
+       "      <td>1.04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>jinaai/jina-reranker-v2-base-multilingual</td>\n",
-       "      <td>1.11</td>\n",
        "      <td>A multi-lingual reranker model for cross-encod...</td>\n",
        "      <td>cc-by-nc-4.0</td>\n",
+       "      <td>1.11</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                       model  size_in_GB  \\\n",
-       "0              Xenova/ms-marco-MiniLM-L-6-v2        0.08   \n",
-       "1             Xenova/ms-marco-MiniLM-L-12-v2        0.12   \n",
-       "2            jinaai/jina-reranker-v1-tiny-en        0.13   \n",
-       "3           jinaai/jina-reranker-v1-turbo-en        0.15   \n",
-       "4                     BAAI/bge-reranker-base        1.04   \n",
-       "5  jinaai/jina-reranker-v2-base-multilingual        1.11   \n",
+       "                                       model  \\\n",
+       "0              Xenova/ms-marco-MiniLM-L-6-v2   \n",
+       "1             Xenova/ms-marco-MiniLM-L-12-v2   \n",
+       "2            jinaai/jina-reranker-v1-tiny-en   \n",
+       "3           jinaai/jina-reranker-v1-turbo-en   \n",
+       "4                     BAAI/bge-reranker-base   \n",
+       "5  jinaai/jina-reranker-v2-base-multilingual   \n",
        "\n",
-       "                                         description       license  \n",
-       "0  MiniLM-L-6-v2 model optimized for re-ranking t...    apache-2.0  \n",
-       "1  MiniLM-L-12-v2 model optimized for re-ranking ...    apache-2.0  \n",
-       "2  Designed for blazing-fast re-ranking with 8K c...    apache-2.0  \n",
-       "3  Designed for blazing-fast re-ranking with 8K c...    apache-2.0  \n",
-       "4  BGE reranker base model for cross-encoder re-r...           mit  \n",
-       "5  A multi-lingual reranker model for cross-encod...  cc-by-nc-4.0  "
+       "                                         description       license  size_in_GB  \n",
+       "0  MiniLM-L-6-v2 model optimized for re-ranking t...    apache-2.0        0.08  \n",
+       "1  MiniLM-L-12-v2 model optimized for re-ranking ...    apache-2.0        0.12  \n",
+       "2  Designed for blazing-fast re-ranking with 8K c...    apache-2.0        0.13  \n",
+       "3  Designed for blazing-fast re-ranking with 8K c...    apache-2.0        0.15  \n",
+       "4  BGE reranker base model for cross-encoder re-r...           mit        1.04  \n",
+       "5  A multi-lingual reranker model for cross-encod...  cc-by-nc-4.0        1.11  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -831,17 +942,10 @@
     "(\n",
     "    pd.DataFrame(TextCrossEncoder.list_supported_models())\n",
     "    .sort_values(\"size_in_GB\")\n",
-    "    .drop(columns=[\"sources\", \"model_file\"])\n",
+    "    .drop(columns=[\"sources\", \"model_file\", \"additional_files\"])\n",
     "    .reset_index(drop=True)\n",
     ")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

From dfbfa73effd9242754b26fbb2ea9f4f74b42312a Mon Sep 17 00:00:00 2001
From: "victor.bitencourt" <victor.bitencourt@horuscda.com.br>
Date: Wed, 4 Mar 2026 12:55:30 -0300
Subject: [PATCH 3/3] feat: add pre commit hooks

---
 uv.lock | 3 +++
 1 file changed, 3 insertions(+)
 create mode 100644 uv.lock

diff --git a/uv.lock b/uv.lock
new file mode 100644
index 000000000..7518fc90b
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,3 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"