transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Exclude _no_placement_params from get_balanced_memory's per-device budget
- Fuse the MoE top-k router into one kernel, served from the Hub
- Fix Parakeet TDT conversion for nvidia/parakeet-tdt-1.1b (no <pad> in the NeMo vocab)
- Add sliding-window local attention to Parakeet for long-form audio
- Follow-up: clean up video_duration handling in hyperclovax_vision_v2 (#44314)
- Support converting the unified Parakeet checkpoints (nvidia/parakeet-unified-en-0.6b)
- [generate] modularize generate
- Support mass-preserving label smoothing for multi-label classification
- [Bug] Preserve MoE router auxiliary loss weighting in Trainer DDP
- Fix Qwen3-MoE auxiliary loss being multiplied by DDP world size in Trainer
- Docs
- Python not yet supported