Image Segmentation
MLX
apple-silicon
video-matting
green-screen
blue-screen
chroma-key
vfx
fp32
fp16
quantized
Instructions to use cdelta/CorridorKey-v2-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cdelta/CorridorKey-v2-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download cdelta/CorridorKey-v2-MLX --local-dir CorridorKey-v2-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download assets/examples/squirrel-input.png from cdelta/CorridorKey-v2-MLX: direct link, hf CLI and curl.
- Browser
- Download file 1.73 MB
-
https://huggingface.co/cdelta/CorridorKey-v2-MLX/resolve/main/assets/examples/squirrel-input.png
- Command line
-
hf download hf://cdelta/CorridorKey-v2-MLX/assets/examples/squirrel-input.png
-
curl -L -o squirrel-input.png https://huggingface.co/cdelta/CorridorKey-v2-MLX/resolve/main/assets/examples/squirrel-input.png
1.73 MB

- Xet hash:
- 482f896c53a12c611232ae5888a952c644b71b27a1ece196d05b5c904491e616
- Size of remote file:
- 1.73 MB
- SHA256:
- 0a721e992526212122e118c794d9f6e2476165b1164571a69a08a55c4cb41197
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