transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Add use_temp_cache_if_readonly decorator to testing_utils
- [Whisper] Add Unpack[TransformersKwargs] to forward() and set use_cache=False when labels provided
- Add native masked MSE loss for Sapiens2ForPoseEstimation
- [Offloading] Support full disk offloading
- [`peft`] Support key_mapping with PEFT models
- LabelSmoother ignores num_items_in_batch, inflating gradients by ~gradient_accumulation_steps with label smoothing
- Several models hardcode `torch.float64` in their forward pass, crashing on MPS (Apple Silicon)
- Fix gradient inflation when combining label smoothing with gradient accumulation
- Fix beam cache reordering for non-default cache keys
- Fix hardcoded torch.float64 crashing on MPS (#46723)
- Docs
- Python not yet supported