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 BitNet packed-weight unpacking dtype (`F.linear` dtype mismatch)
- blip 2 fix
- call transformers-ci in a nightly run
- Don't pin the gated delta net norm to `cuda:0` with a hardcoded device
- [fix][whisper]: fix max_new_tokens handling
- Is transformers 5.12.1 requires tokenizers<=0.23.0,>=0.22.0 really right?
- Fix Moonshine training-loss double-shift (train against labels, not labels[..., 1:])
- Enable CB paged decode fast path for MPS hub kernels + sensible block_size default
- Fix QuantizedCache crash on hybrid (SSM + attention) models
- [WIP] Support custom kernels for processing ops
- Docs
- Python not yet supported