update transformers package

[wirthual]

Related Issue

#470

Checklist

• I have read the CONTRIBUTING guidelines.
• I have added tests to cover my changes.
• I have updated the documentation (docs folder) accordingly.

[greptile-apps]

PR Summary

Updates the transformers package minimum version requirement to fix compatibility with the NV-Embed-v2 model's LatentAttentionConfig implementation.

• Changed transformers version constraint from '>4.34.0,<=5.0' to '>=4.46.2,<=5.0' in /libs/infinity_emb/pyproject.toml to resolve AttributeError with LatentAttentionConfig
• Maintains upper bound compatibility with transformers 5.0 while ensuring minimum version supports newer attention implementations

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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 79.51%. Comparing base (d2941c7) to head (b5b6a6e).

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Additional details and impacted files

@@            Coverage Diff             @@
##             main     #471      +/-   ##
==========================================
- Coverage   79.57%   79.51%   -0.06%     
==========================================
  Files          41       41              
  Lines        3417     3417              
==========================================
- Hits         2719     2717       -2     
- Misses        698      700       +2     

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[michaelfeil]

Not sure if all users are happy with bumping the mandatory version! Maybe just update the .lock file.

• undo the changes on pyproject.toml
• poetry lock —no-update

[wirthual]

Got it. Updated the lock file by running

poetry update transformers

Reverted pyproject.toml to the version on main branch.

[michaelfeil]

Not sure if this makes nv-embed-2 work (https://huggingface.co/nvidia/NV-Embed-v2/blob/main/config.json) says transformer is 4.42.4, and this PR bumped 4.45 -> 4.46

[michaelfeil]

Maybe --no-bettertransformer is worth running for the NV-Embed

[wirthual]

Let me try that. However with the 0.45.2 version of the transformer package I got the error described in the issue.