transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Unable to resume model training with a locally downloaded model and trust remote code
- [Qwen3Next] preserve linear-attn-mask optimization under torch.compile/export
- Avoid reading self source code via file open()
- Regression in v5.x: `ProcessorMixin._load_tokenizer_from_pretrained` forces subfolder for non-primary sub-tokenizers, breaking repos that put tokenizer files at root
- [RT-DETRv2] MPS crash: build_2d_sinusoidal_position_embedding hardcodes torch.float64, breaking Apple Silicon / MPS inference
- Fix tokenizer subfolder fallback
- [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
- Docs
- Python not yet supported