transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- llama3.1 tokennizer from transformers has Different behavior from origin openai/tiktoken
- Support dynamic batch size
- The maximum value of input_ids must be smaller than the embedding layer's input dimension. (TFBartEncoder)
- Switch to sdpa_kernel api with newer torch version
- Fix `past_key_values` as input when using `Cache`
- Support BatchNorm in Hubert pos_conv_emb as in fairseq
- [mask2former] torch.export error for Mask2Former
- ValueError: The model did not return a loss from the inputs, only the following keys: logits. For reference, the inputs it received are input_ids,attention_mask,pixel_values,aspect_ratio_ids,aspect_ratio_mask,cross_attention_mask
- fix(Mask2Former): torch export
- jinja2 is a necessary dependency, but it is not currently specified
- Docs
- Python not yet supported