Mask Generation
MLX
Safetensors
moonbox
efficientvit
efficientvit-sam
segment-anything
image-segmentation
Instructions to use moonbox-ai/efficientvit-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use moonbox-ai/efficientvit-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download moonbox-ai/efficientvit-MLX --local-dir efficientvit-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download bf16/config.json from moonbox-ai/efficientvit-MLX: direct link, hf CLI and curl.
- Browser
- Download file 315 Bytes
-
https://huggingface.co/moonbox-ai/efficientvit-MLX/resolve/main/bf16/config.json
- Command line
-
hf download hf://moonbox-ai/efficientvit-MLX/bf16/config.json
-
curl -L -o config.json https://huggingface.co/moonbox-ai/efficientvit-MLX/resolve/main/bf16/config.json
315 Bytes
| { | |
| "model_type": "efficientvit_sam", | |
| "variant": "l2", | |
| "image_size": 1024, | |
| "encoder_size": 512, | |
| "width_list": [ | |
| 32, | |
| 64, | |
| 128, | |
| 256, | |
| 512 | |
| ], | |
| "depth_list": [ | |
| 1, | |
| 2, | |
| 2, | |
| 8, | |
| 8 | |
| ], | |
| "qkv_dim": 32, | |
| "neck_depth": 12, | |
| "neck_expand": 1, | |
| "prompt_dim": 256, | |
| "mask_in_chans": 16, | |
| "precision": "bf16" | |
| } | |