Instructions to use mlx-community/tripo_splat_mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/tripo_splat_mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir tripo_splat_mlx mlx-community/tripo_splat_mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- c3e4029c845a28739d7784e1dfb7480fab9d23c0e1139c7548e7620245edfb6a
- Size of remote file:
- 668 MB
- SHA256:
- 17f07cf26b361b658db937419285c5e0802f6ec69d1abdcc6eabf98b4f7dc295
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