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 support for H2O cache eviction with LLaMA
- `RuntimeError: self and mat2 must have the same dtype, but got Float and BFloat16` when training with `torch_compile`
- MultiModalityCausalLM does not support Flash Attention 2.0 yet
- 'do_sample' model default cannot be overridden
- Add support for post-processing kwargs in image-text-to-text pipeline
- Fix: bamba error handling kwargs with forward pass
- Support modernBERT for encoder-decoder models
- Model loaded with `PretrainedModel.from_pretrained` and `with torch.device("cuda"):` decorator leads to unexpected errors compared to `.to("cuda")`
- `inv_freq_expanded` does not move to correct device in Qwen2
- Default value for mean_resizing in resize_token_embeddings should be False
- Docs
- Python not yet supported