transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Clarify device placement in pipelines
- GlmMoeDsaConfig: legacy `num_experts` unconditionally overrides explicit `n_routed_experts` (sibling of #46739)
- Add beats model
- Add LocalMode to `awesome-transformers.md`
- [Fix] Small FA-related test failures in CB
- Fix _is_packed_sequence for 1D and 3D position_ids
- AMD quark class not updated
- MetalConfig quantization: batched generate silently corrupts all rows after the first — affine_qmm_t computes only batch element 0 of 3D inputs (verified, one-line fix)
- Batch Rebalance Data Sampler
- adding amd quark config class changes
- Docs
- Python not yet supported