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 logit scaling sdpa using `FlexAttention` for Gemma2
- How to use 【examples/pytorch/contrastive-image-text】 to inter inference
- Added resource class configuration option for `check_circleci_user` job
- Update modeling_seamless_m4t.py SeamlessM4TForSpeechToText needs text_decoder it should not be in _keys_to_ignore_on_load_missing.
- Fix assertion and value errors in sam-vit-h convertion script
- Integrate Liger (Linkedin GPU Efficient Runtime) Kernel to HuggingFace
- feat: DeepSeekMoE
- Uniformize model processors (models *with* special arg names)
- Uniformize model processors (models w/o special arg names)
- split head_dim from hidden_size for llama like gemma or mistral
- Docs
- Python not yet supported