Instructions to use moonbox-ai/MobileSAM-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use moonbox-ai/MobileSAM-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download moonbox-ai/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
CHANGED
|
@@ -36,6 +36,9 @@ for what was measured).
|
|
| 36 |
| 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 |
|
| 37 |
| 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 |
|
| 38 |
| 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 |
|
|
|
|
|
|
|
|
|
|
| 39 |
|
| 40 |
## How to run
|
| 41 |
|
|
|
|
| 36 |
| 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 |
|
| 37 |
| 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 |
|
| 38 |
| 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 |
|
| 39 |
+
| 4bit | [`4bit/config.json`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/4bit/config.json) | 0.4 kB | `4f556f197ff7` | below threshold (experimental): mask IoU 0.922 mean / 0.012 worst |
|
| 40 |
+
| 4bit | [`4bit/mlx_model.py`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/4bit/mlx_model.py) | 20.7 kB | `57f29a58bfa3` | below threshold (experimental): mask IoU 0.922 mean / 0.012 worst |
|
| 41 |
+
| 4bit | [`4bit/model.safetensors`](https://huggingface.co/moonbox-ai/MobileSAM-MLX/blob/main/4bit/model.safetensors) | 9.0 MB | `9beb710a859d` | below threshold (experimental): mask IoU 0.922 mean / 0.012 worst |
|
| 42 |
|
| 43 |
## How to run
|
| 44 |
|