transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- load_state_dict doesnt support torch._subclasses.fake_tensor.FakeTensorMode
- [`spam`]
- tracker: `generate` compatibility with `torch.compile`
- Whisper Sequential long-form decoding doesn't work with timestamps per token
- Misleading ImportError when using JAX tensors without Flax installed
- [i18n-es] Translating docs to Spanish
- Add support for prefix_allowed_tokens_fn to maintain a state throughout decoding
- Add Flash Attention 2 support for Flan-T5
- BertTokenizer and BertTokenizerFast have different behavior when requested "return_overflowing_tokens"
- Returning history prompt from BarkModel.generate()
- Docs
- Python not yet supported