Instructions to use moonbox-dev/MobileSAM-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use moonbox-dev/MobileSAM-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download moonbox-dev/MobileSAM-MLX --local-dir MobileSAM-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Model card and the original license
Browse files
README.md
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| 8bit | [`8bit/config.json`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/8bit/config.json) | 0.4 kB | `a5c89d1aea72` | below threshold (experimental): mask IoU 0.989 mean / 0.899 worst |
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| 8bit | [`8bit/mlx_model.py`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/8bit/mlx_model.py) | 20.7 kB | `57f29a58bfa3` | below threshold (experimental): mask IoU 0.989 mean / 0.899 worst |
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| 8bit | [`8bit/model.safetensors`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/8bit/model.safetensors) | 12.7 MB | `d5daba02bdec` | below threshold (experimental): mask IoU 0.989 mean / 0.899 worst |
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## How to run
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| 8bit | [`8bit/config.json`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/8bit/config.json) | 0.4 kB | `a5c89d1aea72` | below threshold (experimental): mask IoU 0.989 mean / 0.899 worst |
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| 8bit | [`8bit/mlx_model.py`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/8bit/mlx_model.py) | 20.7 kB | `57f29a58bfa3` | below threshold (experimental): mask IoU 0.989 mean / 0.899 worst |
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| 8bit | [`8bit/model.safetensors`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/8bit/model.safetensors) | 12.7 MB | `d5daba02bdec` | below threshold (experimental): mask IoU 0.989 mean / 0.899 worst |
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| 6bit | [`6bit/config.json`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/6bit/config.json) | 0.4 kB | `6cd61ce1c00d` | below threshold (experimental): mask IoU 0.989 mean / 0.914 worst |
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| 6bit | [`6bit/mlx_model.py`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/6bit/mlx_model.py) | 20.7 kB | `57f29a58bfa3` | below threshold (experimental): mask IoU 0.989 mean / 0.914 worst |
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| 6bit | [`6bit/model.safetensors`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/6bit/model.safetensors) | 10.8 MB | `6699f046a09d` | below threshold (experimental): mask IoU 0.989 mean / 0.914 worst |
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## How to run
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