transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- revamp cv docs and fix rf-detr
- [BUG] FP8 model cannot inference on B200 (SM>=100)
- _sanitize_module_name doesnt handle path traversal chars
- is_torch_hpu_available permanently monkeypatches global torch functions
- fix(llama): allow explicit head_dim when hidden_size not divisible by num_attention_heads
- Qwen3.5 GatedDeltaNet: Large logit divergence between full-sequence forward and prefill+decode with cache
- [wav2vec2_conformer/bert][SeamlessM4T/v2] Support attn_implementation=sdpa dispatch
- Tighten exception handling in find_sentencepiece_model_file
- ValueError: Backend should be defined in the BACKENDS_MAPPING. Offending backend: tensorflow_text
- [New model] Add Fun-ASR-Nano (FunAudioLLM/Fun-ASR-Nano-2512)
- Docs
- Python not yet supported