transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [Bug] Loading gemma4 on transformers v4 raises misleading AttributeError: 'list' object has no attribute 'keys' instead of a clear version requirement error
- fix(testing_utils): guard get_device_capability with torch.cuda.is_available()
- n-to-1 kernel fusion via `KernelConfig`
- WIP: Add support for Granite4VisionForConditionalGeneration
- Add universal phone recognition model - PhoneticXeus
- Replace deprecated `huggingface-cli` references with `hf`
- Add CLIP-like models in conversion to VLMs
- Fix Double Application of Softmax for Router Logits in MoE models
- [CB] Fix capture of max_seqlen
- Add heterogeneous model support (per-layer config and modeling)
- Docs
- Python not yet supported