transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- pr_build_doc_with_comment.yml is rejected at startup (job 'if:' references a job not in its 'needs:') — 3,086 startup failures, no notification
- [DeepSpeed] Composite models are not initialized correctly under ZeRO-3
- [Improvement] Formalize KV sharing
- Fix important model failures on MI450
- Kernel native causal_conv1d functions
- Cohere ASR chunk reassembly can crash on empty chunks and accept inconsistent metadata
- Add repeated n-gram stopping criterion
- Avoid repeated Cohere ASR encoder projection during cached generation
- Add new model `EfficientVit-SAM` to transformers
- Avoid ~2x transient host memory when loading to a unified-memory device
- Docs
- Python not yet supported