transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Mamba2-family `cuda_kernels_forward` decode step is broken since #47452: missing seq-dim squeeze
- fix minor docs, testing, and npu detection issues
- Allow position_ids_start=2 on DataCollatorWithFlattening for RoBERTa etc.
- Fix `config.per_layer_config[layer_type]` lookup speed
- Add MXFP4 training support via a dequantize-on-the-fly fallback
- Qwen3.5-MoE (Qwen3_5MoeExperts) data-dependent expert dispatch breaks torch.utils.checkpoint reproducibility — CheckpointError / silent NaN gradients
- Fix torch_float casting to int instead of float
- CI: use a single function for GH calls
- Regarding security issue i have reported
- Fix CLVP `c_proj` residual scaled-init silently never applied
- Docs
- Python not yet supported