Instructions to use mlx-community/sam3.1-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/sam3.1-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/sam3.1-bf16 --local-dir sam3.1-bf16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Browse files
README.md
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# sam3.1-bf16
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[facebook/sam3.1](https://huggingface.co/facebook/sam3.1)
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Open-vocabulary **object detection**, **instance segmentation**, and **video tracking** with **Object Multiplex** on Apple Silicon (~873M parameters).
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# sam3.1-bf16
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This model was converted to MLX format from [`facebook/sam3.1`](https://huggingface.co/facebook/sam3.1)
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using mlx-vlm version **0.4.3**.
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Open-vocabulary **object detection**, **instance segmentation**, and **video tracking** with **Object Multiplex** on Apple Silicon (~873M parameters).
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