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deps(deps): bump the pip group across 1 directory with 2 updates#70

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deps(deps): bump the pip group across 1 directory with 2 updates#70
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dependabot/pip/pip-88b18ee65b

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Bumps the pip group with 2 updates in the / directory: transformers and torch.

Updates transformers from 4.57.3 to 5.0.0rc3

Release notes

Sourced from transformers's releases.

Release candidate v5.0.0rc3

New models:

What's Changed

We are getting closer and closer to the official release! This RC is focused on removing more of the deprecated stuff, fixing some minors issues, doc updates.

... (truncated)

Commits

Updates torch from 2.9.1 to 2.12.0

Release notes

Sourced from torch's releases.

PyTorch 2.12.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Build Frontend

  • Strengthened SVE compile checks in FindARM.cmake, which may reject previously accepted but incorrect SVE configurations (#176646)

    Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.

  • Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (#178925)

    Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure CUDA_HOME points to that installation.

    Version 2.11:

    CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop

    Version 2.12:

    CUDA_HOME=/usr/local/cuda-12.6 python setup.py develop
  • Enforced a C++20 minimum in CMake build files (#178662)

... (truncated)

Commits
  • 0d62256 [release] Dockerfile: skip torchaudio install when CUDA_PATH=cu132 (#183346)
  • 7661cd9 [MPS] Fix SDPA wrong output for permuted q/k/v with B > 1 (#181886)
  • 9da6087 Fix stale PYTORCH_RELEASES_CODE_CC dict (fixes #182250) (#182369)
  • e4c37cc Avoid raw stream name collisions in Inductor (#182178)
  • 822d047 [MPS] Fix bool mask handling in 1-pass SDPA decode kernel (#182285) (#182311)
  • 5c5e523 Add enable_gqa parameter to SDPA MPS meta registration (#181550)
  • eece52e [AOTI] Add BC-safe c_shim v2 for _scaled_dot_product_attention_math_for_mps e...
  • b39330b [Inductor] Call latest c_shim version for versioned fallback ops (#181548)
  • 06f10d0 Revert "[FSDP2] add fqn to communication ops" (#182100) (#182157)
  • 449e339 Revert "[Inductor] Improve materialization heuristic for a chain of computaio...
  • Additional commits viewable in compare view

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Bumps the pip group with 2 updates in the / directory: [transformers](https://github.com/huggingface/transformers) and [torch](https://github.com/pytorch/pytorch).


Updates `transformers` from 4.57.3 to 5.0.0rc3
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.57.3...v5.0.0rc3)

Updates `torch` from 2.9.1 to 2.12.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.9.1...v2.12.0)

---
updated-dependencies:
- dependency-name: transformers
  dependency-version: 5.0.0rc3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.0
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jun 11, 2026
@vesper-review

vesper-review Bot commented Jun 11, 2026

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Reviewed commits

Commit Summary
459f86e deps(deps): bump the pip group across 1 directory with 2 updates

Here is an analysis of the proposed changes in requirements.txt.

1. Use of a Release Candidate (transformers==5.0.0rc3)

  • Issue: Pinned to a pre-release version (rc3) of a major new version (5.0.0). Release candidates are intended for testing and can contain bugs, undergo rapid changes, or be removed/replaced. Additionally, major version upgrades (v4 to v5) typically introduce breaking API changes that could break your codebase.
  • Recommendation: Use a stable, non-RC version of transformers (such as the latest stable 4.x release) unless you specifically require features from the 5.0.0 pre-release and have thoroughly tested your codebase against it.

2. Invalid PyTorch Version (torch==2.12.0)

  • Issue: torch==2.12.0 is not a valid or existing PyTorch version (as of early 2025, PyTorch is on version 2.6.x). This is highly likely a typo for 2.1.2 or 2.2.0.
  • Recommendation: Correct the version to a valid, existing PyTorch release (e.g., 2.1.2 or 2.5.1 depending on your compatibility requirements).

Suggested Changes

Assuming you want to use stable, valid versions of these libraries:

requirements.txt
@@ -2,4 +2,4 @@
 fastapi==0.128.0
-transformers==5.0.0rc3
+transformers==4.48.0
 uvicorn==0.40.0
-torch==2.12.0
+torch==2.1.2
 datasets==4.4.2

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Vesper Analysis for 459f86e

Comment thread requirements.txt
fastapi==0.128.0
transformers==4.57.3
transformers==5.0.0rc3
uvicorn==0.40.0

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Assuming you want to use stable, valid versions of these libraries:

Suggested change
uvicorn==0.40.0
transformers==4.48.0

Comment thread requirements.txt
uvicorn==0.40.0
torch==2.9.1
torch==2.12.0
datasets==4.4.2

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Assuming you want to use stable, valid versions of these libraries:

Suggested change
datasets==4.4.2
torch==2.1.2

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