transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [`auto_docstring`] needs to be only run on __doc__
- investigate modular conversion speedups
- Fix PIL backend fallback when torchvision is unavailable
- modeling_utils unsafely accesses sys.modules[]
- Llama3 video fix
- Pass packed boundary metadata to Qwen3.5 linear-attention fast kernels from data collator
- Recent transformers versions break models using `remote_code`
- [WIP][Fix] GLM 5 set `apply_rotary_pos_emb` to `is_neox_style=False` && remove `F.relu()`
- Trainer: set skip_logits for loss-only eval when liger enabled
- Inconsistent tokenization and BLEU scores between AutoTokinzer and NllbTokenizerFast
- Docs
- Python not yet supported