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
Download bf16/model.safetensors from moonbox-dev/efficientvit-MLX: direct link, hf CLI and curl.
- Browser
- Download file 123 MB
-
https://huggingface.co/moonbox-dev/efficientvit-MLX/resolve/main/bf16/model.safetensors
- Command line
-
hf download hf://moonbox-dev/efficientvit-MLX/bf16/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/moonbox-dev/efficientvit-MLX/resolve/main/bf16/model.safetensors
123 MB
- Xet hash:
- ffe84e47d076f9040db7b91a12c257b7b1e6dc1b2f027b13215389c79330645f
- Size of remote file:
- 123 MB
- SHA256:
- e7acc4ef22538daf2dd4953425d300d3f5977e5b8e3ed93a1fcf343d57192ec8
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