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 some missing / incorrect entries in auto files
- Avoid floating point math for ceil operations
- [ColQwen2] Refactor output tracing (issue #43979)
- `PixioPatchEmbeddings.forward` supports `interpolate_pos_encoding` but it is not propagated through `PixioEmbeddings`/`PixioModel`
- Support packed sequences for linear attention models (i.e. Qwen3.5)
- Allow kernel modules to declare their preferred mask function
- fix(gpt2): Resolve NaN/Inf issue in lm_head on Python 3.13 with tied weights
- fix: torch_float should return float, not int
- transformers serve + llamacpp
- Allow kernel modules to declare their preferred mask function
- Docs
- Python not yet supported