transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Help out
- Issues
- Speculative sampling does not maintain probability distribution of main model
- Multiprocessing support
- Difference in embedding weight initialization for randomly initialized T5 model
- Fix assertion and value errors in sam-vit-h convertion script
- Integrate Liger (Linkedin GPU Efficient Runtime) Kernel to HuggingFace
- feat: DeepSeekMoE
- confusing deprecation msg for `DynamicCache.seen_tokens` - no `cache_position` in this class
- 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