transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Add option to export encoder hidden states for Granite-speech
- Feature/integrations docs fix
- model: Add DEIMv2 to Transformers
- Enable MetalConfig to load pre-quantized MLX models from HuggingFace Hub
- Auto detect wrong mapping models
- add HyperClovaX Vision
- [Bug/Discussion] MLA q_a_layernorm Missing config.rms_norm_eps, Causing 1e-5/1e-6 Precision Error
- [`Moe`] Enable aux loss automatically when in training + coef is not 0
- use nanmean for aggregating loss
- Timm unification continued
- Docs
- Python not yet supported