Mask Generation
MLX
Safetensors
moonbox
efficientvit
efficientvit-sam
segment-anything
image-segmentation
Instructions to use moonbox-dev/efficientvit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use moonbox-dev/efficientvit-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download moonbox-dev/efficientvit-MLX --local-dir efficientvit-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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| fp16 | [`fp16/config.json`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/fp16/config.json) | 0.3 kB | `9b286f991620` | below threshold (experimental): mask IoU 0.942 mean / 0.611 worst (float32 port: 0.9996 / 0.997) |
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| fp16 | [`fp16/mlx_model.py`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/fp16/mlx_model.py) | 25.4 kB | `42cea84fb312` | below threshold (experimental): mask IoU 0.942 mean / 0.611 worst (float32 port: 0.9996 / 0.997) |
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| fp16 | [`fp16/model.safetensors`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/fp16/model.safetensors) | 122.7 MB | `f4b4b159c9f7` | below threshold (experimental): mask IoU 0.942 mean / 0.611 worst (float32 port: 0.9996 / 0.997) |
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| bf16 | [`bf16/config.json`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/bf16/config.json) | 0.3 kB | `9e98792690f7` | below threshold (experimental): mask IoU 0.714 mean / 0.091 worst |
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| bf16 | [`bf16/mlx_model.py`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/bf16/mlx_model.py) | 25.4 kB | `42cea84fb312` | below threshold (experimental): mask IoU 0.714 mean / 0.091 worst |
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| bf16 | [`bf16/model.safetensors`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/bf16/model.safetensors) | 122.7 MB | `e7acc4ef2253` | below threshold (experimental): mask IoU 0.714 mean / 0.091 worst |
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| fp16 | [`fp16/config.json`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/fp16/config.json) | 0.3 kB | `9b286f991620` | below threshold (experimental): mask IoU 0.942 mean / 0.611 worst (float32 port: 0.9996 / 0.997) |
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| fp16 | [`fp16/mlx_model.py`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/fp16/mlx_model.py) | 25.4 kB | `42cea84fb312` | below threshold (experimental): mask IoU 0.942 mean / 0.611 worst (float32 port: 0.9996 / 0.997) |
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| fp16 | [`fp16/model.safetensors`](https://huggingface.co/moonbox-ai/efficientvit-MLX/blob/main/fp16/model.safetensors) | 122.7 MB | `f4b4b159c9f7` | below threshold (experimental): mask IoU 0.942 mean / 0.611 worst (float32 port: 0.9996 / 0.997) |
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