transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [CB] Varlen path: copy only the used prefix of the index storages, build indices in numpy
- [CB] Size the KV pool with the per-rank head count under TP
- Tensor parallelism: let a split model be one replica among several
- feat(hf_argparser): support dict-typed dataclass fields from CLI (#48030)
- Normalize repository text file line endings
- is_torchvision_available() uses find_spec, so a broken-but-installed torchvision is reported as available
- Fix TextGenerationPipeline missing tokenizer for stop_strings
- [docs] Pipeline parallel inference
- Feature request: add NEAT as an optional Trainer optimizer integration
- tests: skip the symlinked hub-cache test when symlinks are unavailable
- Docs
- Python not yet supported