transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Different batch sizes result in inconsistent predicted probabilities when using the trainer for regression task predictions.
- Enabled Flash Attention for PaliGemma models
- PeftModel is not an instance of PreTrainedModel. `No liger kernels will be applied.`
- Add support for Apple's Depth-Pro
- [WIP] Add Gemma2 GGUF support
- Fix `pad_token_tensor` is None in warning
- from_pretrained's torch_dtype "auto" mode doesn't handle nested models
- ValueError: Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' 'truncation=True' to have batched tensors with the same length
- Enhancing RoBERTa Robustness through Adversarial Training
- force conversion for Llama when `legacy` is set to `False`
- Docs
- Python not yet supported