build(deps): Bump transformers from 4.53.0 to 5.0.0rc3 in /examples/flowertune-llm-medical#6967
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Bumps [transformers](https://github.com/huggingface/transformers) from 4.53.0 to 5.0.0rc3. - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](huggingface/transformers@v4.53.0...v5.0.0rc3) --- updated-dependencies: - dependency-name: transformers dependency-version: 5.0.0rc3 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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| "scipy==1.13.0", | ||
| "peft==0.6.2", | ||
| "transformers==4.53.0", | ||
| "transformers==5.0.0rc3", |
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This bump breaks the app's training path because trl==0.8.1 still initializes SFTTrainer by forwarding tokenizer= to transformers.Trainer.__init__, while transformers 5.x removed that argument in favor of processing_class; when flowertune_medical/client_app.py constructs SFTTrainer, it will raise TypeError and fail before local training starts. Since only transformers was upgraded here (without a compatible trl upgrade), this regression affects every run of this example.
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Bumps transformers from 4.53.0 to 5.0.0rc3.
Release notes
Sourced from transformers's releases.
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Commits
cb5079fv5.0.0rc3d1808f2[ci] Fixing some failing tests for important models (#43231)3d27645Add LightOnOCR model implementation (#41621)77146ccfix crash in when running FSDP2+TP (#43226)61317f5[CB] Ensure parallel decoding test passes using FA (#43277)1efe1a6Fix failingPegasusX,Mvp&LEDmodel integration tests (#43245)e8ae373[consistency] Ensure models are added to the_toctree.yml(#43264)c85be98[docs] tensorrt-llm (#43176)38022fd[style] Fix init isort and align makefile and CI (#43260)e977446Fix failingHiera,SwiftFormer&LEDModel integration tests (#43225)