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
- [WIP] Support custom kernels for processing ops
- Fix padding mask skipped for batch size 1 in linear-attention models
- New SP support in Trainer
- [RT-DETRv2] Fix MPS crash in build_2d_sinusoidal_position_embedding (float64 → dtype)
- Add LocateAnything
- [Whisper] Add Unpack[TransformersKwargs] to forward() and set use_cache=False when labels provided
- Fix beam cache reordering for non-default cache keys
- Fix hardcoded torch.float64 crashing on MPS (#46723)
- LoRA fine-tuning of an FP8 checkpoint is blocked: `get_peft_model` does not clear `validate_quantization_for_training` (QuantizationMethod.FP8)
- Docs
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