Instructions to use codelion/sprog-9m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use codelion/sprog-9m with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sprog-9m codelion/sprog-9m
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 4f23661f8568fda3e3edc5a7c92c9333edcd803ba67fde1eb99e2cbc68d62b66
- Size of remote file:
- 37.5 MB
- SHA256:
- d54dbfb6c7eecd48a89caacf3ec2799a449919a18602ff157842ddd8e0dab373
路
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