transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Enable CB paged decode fast path for MPS hub kernels + sensible block_size default
- Support custom kernels for processing ops
- Add LocateAnything
- [Whisper] Add Unpack[TransformersKwargs] to forward() and set use_cache=False when labels provided
- feat(model): add bailing v2.6 model
- Reflect baked post-processor in `add_bos_token`/`add_eos_token`
- Made SAM3 to return loss in outputs
- [`Kernels`] Add new kernels to models: CE, Swiglu, Geglu(, Linear)
- Add RTDetrForSegmentation
- Fix Wav2Vec2 word delimiter special token handling
- Docs
- Python not yet supported