transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [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
- New dynamic cache for sliding window attention
- Modular phi
- MsT: chunking the LM-head and MLP to extend sequence length and save memory
- safetensor/mmap memory leak when per-layer weights are converted do other dtypes
- Added performance.mdx italian translation
- Add Image Processor Fast Deformable DETR
- Docs
- Python not yet supported