transformers
https://github.com/huggingface/transformers
Python
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Add MOSS-Transcribe-Diarize model
- qwen4_exp: fp8-quantized n-gram (PLE) embedding rows are gathered without dequantization
- Shape cross-attention keys and values by the states they come from
- Modernize FSMT: shared attention interface and remove legacy fairseq code
- Standardise head_dim onto the config and drop the guards that stood in for it
- Add --experts-implementation flag to transformers serve
- Unpin the bert copy markers, and delete the ones CI never enforced
- ιι ιΈΏθ
- NVFP4 MoE experts are dequantized without weight_global_scale, silently
- Carry weight_global_scale when decompressing NVFP4 MoE experts
- Docs
- Python not yet supported