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:
- f4eb6812895b7c0f13cdfa731c6a043bb9797f1095b53ae29566953e284e434c
- Size of remote file:
- 348 kB
- SHA256:
- c71b965809c37ca381c0d00e0717b6a873f79d1237c56a19da2369b089dd4726
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.