Mask Generation
MLX
Safetensors
sam3_video
apple-silicon
image-segmentation
video-object-segmentation
bfloat16
Instructions to use appautomaton/sam3.1-multiplex-bf16-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use appautomaton/sam3.1-multiplex-bf16-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sam3.1-multiplex-bf16-mlx appautomaton/sam3.1-multiplex-bf16-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- dd091bb12f449a3afcc3ec5c7dbf9b38b80fee3c8175c6c7cadc560e52b70e0b
- Size of remote file:
- 1.36 MB
- SHA256:
- 924691ac288e54409236115652ad4aa250f48203de50a9e4722a6ecd48d6804a
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