transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Make the keypoint models exportable (SuperPoint, SuperGlue, LightGlue)
- Add native LFM2-Audio support
- Simplify group images by shape
- fix(tokenization): prioritize slice indexing in BatchEncoding.__getitem__
- Warm the page cache before sharded loading (opt-in via `HF_SHARD_PREFETCH`)
- Avoid shadowing pipeline function in README examples
- Add native support for TR-HASH deterministic token-routed MoE
- Deprecate backend="torchaudio" for `load_audio`
- Persist the Whisper spelling normalizer across save_pretrained
- Feat/laguna quantized checkpoints support
- Docs
- Python not yet supported