transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Remove redundancies for Qwen3MoeDecoderLayer
- Bump transformers from 4.48.0 to 4.50.0 in /examples/tensorflow/language-modeling-tpu
- Training Qwen2.5 VL with dynamic image size using more balanced Sampler for each GPU mem usage
- fix graph break for torch.compile in attention mask check
- proof of concept for using dataset of test cases for tokenizer tests
- 5GB to 50GB as a default
- Fixes issue #38709 for CLIP and XCLIP
- Remove deprecated max_size support from YOLOS image processor
- Use deep copies instead of shallow copies for bbox_embed in GroundingDINO decoder (#37333).
- Add submodels support check function
- Docs
- Python not yet supported