transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Revisit the condition for calling `compute_loss` at eval
- fix(tokenizer): Avert special token property overwrites in batch add_tokens calls
- SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
- Allow extra outputs from `GenerationMixin.generate`
- Feature Request: Option to transfer logits to CPU during generation
- Rewrite audio feature processors to accept torch tensors
- Integrating TiledMLP for a much smaller memory footprint
- Add Evo2 Genomic foundation model
- [WIP] End-to-end exportable pipelines (object detection)
- `StaticLayer` cache layer to implement `.crop(seq_len)` to match API of `DynamicLayer`
- Docs
- Python not yet supported