Instructions to use dgrauet/void-model-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/void-model-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir void-model-mlx dgrauet/void-model-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- a96194cd2ca311e042039b663af7c0cc84b2372b54364e93adbf0cbdf0e0a7c8
- Size of remote file:
- 11.1 GB
- SHA256:
- eeb344cf77f8fb0b141087c9556acecc0284dc4717a7663a25776424039ae91a
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