transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- chore: move `conftest.py` to `tests/`
- Make `pipeline` able to load `processor`
- Phi3FlashAttention2 call to rotary embeddings bugfix
- Error in object detection example script
- bump tokenizers, fix added tokens fast
- Misleading type annotations in data collator
- [ I built it! ] Server application with on-the-fly quantization to serve up HF-Hub models for back-and-forth request-response inferencing
- Add support for `weights_only` flag when loading state_dict
- Use unidic-lite instead of ipadic for Japanese tokenization
- Adding new zero-shot examples
- Docs
- Python not yet supported