transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Fix tokenizer subfolder fallback
- [T5] Support attn_implementation=sdpa dispatch
- [ROCm] Fix gpt_oss test suite: AITER attention fallback, SonicMoE guard, and distributed test fixes
- Add cache-aware streaming and RNN-T head for Parakeet
- [deepseek_v4] conversion_mapping doesn't cover mtp.* paths — MTP keys silently random-init even after _keys_to_ignore is empty
- Add TIPSv2 (Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment) by Google DeepMind
- chore: update self-comment-ci.yml
- RoFormer attention implementation does not use attention interface
- Fix crash and tokenization mismatch in speculative decoding with different tokenizers
- Discussion: optional RankSEG-style decoding for Transformers semantic segmentation post-processing
- Docs
- Python not yet supported