transformers
https://github.com/huggingface/transformers
Python
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Enable using different MoE implementations in GraniteMoE
- (Draft) [CB] Change padding from interval to pow2
- Fix `PhimoeIntegrationTest`
- [Continuous batching] Tracker for issues and feature requests
- Investigate training support for Sapiens2ForPoseEstimation when labels are provided
- from_config(dtype=...) builds weights in the requested dtype but leaves model.config.dtype stale
- Different results for PPDocLayoutV3 on CPU and CUDA
- DeepSeek-Coder v1 tokenizer produces incorrect output on transformers v5+ (gap in PR #44801's fix)
- CodeLlama tokenizer strips one leading space on encodeādecode round-trip (regression vs v4)
- difference in performance of sam3 video model compared to original sam3 implementation
- Docs
- Python not yet supported