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Fix: pyi add missing staticmethod decorator and remove duplicate declaration #189

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Merged
akshayballal95 merged 2 commits into from
Nov 7, 2025
Merged

Fix: pyi add missing staticmethod decorator and remove duplicate declaration #189

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ef315e4
Add `staticmethod` decorator to constructors
DayNice Nov 6, 2025
35b90b2
Remove duplicate declarations
DayNice Nov 6, 2025
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28 changes: 8 additions & 20 deletions python/python/embed_anything/_embed_anything.pyi
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Original file line number Diff line number Diff line change
Expand Up @@ -335,6 +335,7 @@ class ColpaliModel:
revision: The revision of the model.
"""

@staticmethod
def from_pretrained(model_id: str, revision: str | None = None) -> ColpaliModel:
"""
Loads a pre-trained Colpali model from the Hugging Face model hub.
Expand All @@ -347,6 +348,7 @@ class ColpaliModel:
A ColpaliModel object.
"""

@staticmethod
def from_pretrained_onnx(
model_id: str, revision: str | None = None
) -> ColpaliModel:
Expand Down Expand Up @@ -400,8 +402,8 @@ class ColbertModel:
Initializes the ColbertModel object.
"""

@staticmethod
def from_pretrained_onnx(
self,
hf_model_id: str | None = None,
revision: str | None = None,
path_in_repo: str | None = None,
Expand Down Expand Up @@ -437,6 +439,7 @@ class Reranker:
Initializes the Reranker object.
"""

@staticmethod
def from_pretrained(
model_id: str, revision: str | None = None, dtype: Dtype | None = None, path_in_repo: str | None = None
) -> Reranker:
Expand Down Expand Up @@ -590,6 +593,7 @@ class EmbeddingModel:
Represents an embedding model.
"""

@staticmethod
def from_pretrained_hf(
model_id: str,
revision: str | None = None,
Expand Down Expand Up @@ -617,6 +621,7 @@ class EmbeddingModel:

"""

@staticmethod
def from_pretrained_cloud(
model: WhichModel, model_id: str, api_key: str | None = None
) -> EmbeddingModel:
Expand Down Expand Up @@ -657,6 +662,7 @@ class EmbeddingModel:
```
"""

@staticmethod
def from_pretrained_onnx(
model: WhichModel,
model_name: Optional[ONNXModel] | None = None,
Expand Down Expand Up @@ -830,23 +836,6 @@ class EmbeddingModel:
A list of EmbedData objects.
"""

def embed_webpage(
self,
url: str,
config: TextEmbedConfig | None = None,
adapter: Adapter | None = None,
) -> list[EmbedData]:
"""
Embeds the given webpage and returns a list of EmbedData objects.

Args:
url: The URL of the webpage to embed.
config: The configuration for the embedding.
adapter: The adapter for the embedding.

Returns:
A list of EmbedData objects.
"""

class AudioDecoderModel:
"""
Expand Down Expand Up @@ -875,6 +864,7 @@ class AudioDecoderModel:
model_type: str
quantized: bool

@staticmethod
def from_pretrained_hf(
model_id: str | None = None,
revision: str | None = None,
Expand Down Expand Up @@ -1005,5 +995,3 @@ class ONNXModel(Enum):
SPLADEPPENV1 = "SPLADEPPENV1"

SPLADEPPENV2 = "SPLADEPPENV2"

ModernBERTBase = "ModernBERTBase"
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