Instructions to use SceneWorks/sam3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/sam3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sam3-mlx SceneWorks/sam3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 1ebb91a10cf694d5b65a18dda24bac6445f6e74ecae2809f9c19df49b58fed03
- Size of remote file:
- 3.44 GB
- SHA256:
- 6d06f0a5f84e435071fe6603e61d0b4cc7b40e0d39d487cfd4d67d8cc11cc14a
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