MLX
Joblib
Safetensors
English
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chain-of-thought
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Instructions to use baya1116/hypernet-sp-distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use baya1116/hypernet-sp-distill with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir hypernet-sp-distill baya1116/hypernet-sp-distill
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| Traceback (most recent call last): | |
| File "/workspace/repo/hypernet_sp/composite_test2.py", line 138, in <module> | |
| main() | |
| File "/workspace/repo/hypernet_sp/composite_test2.py", line 75, in main | |
| from rag import BGERetriever | |
| ModuleNotFoundError: No module named 'rag' | |