Instructions to use ndlanier/gutsignal-food-parser-tinyllama-1.1b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ndlanier/gutsignal-food-parser-tinyllama-1.1b-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir gutsignal-food-parser-tinyllama-1.1b-mlx ndlanier/gutsignal-food-parser-tinyllama-1.1b-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 924e8d454446631580653e3e8b46db34ccd3be99fb924e432cfdb5990bfd4629
- Size of remote file:
- 2.2 GB
- SHA256:
- d983271dca1c2b6b28e549f27f3cb9f4a993c0b69b7568d76160026e32233a58
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