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:
- 7b803182cd790a2426e908c391d6e5832418b9c3381b8eccc21686db1d142508
- Size of remote file:
- 11.1 GB
- SHA256:
- 9e026422ebb71db91b3c79e59a974a1f9d5f0979eab9fe2506777920f98e272a
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