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/cli-workflow.png from cdelta/CorridorKey-v2-MLX: direct link, hf CLI and curl.
- Browser
- Download file 129 kB
-
https://huggingface.co/cdelta/CorridorKey-v2-MLX/resolve/main/assets/cli-workflow.png
- Command line
-
hf download hf://cdelta/CorridorKey-v2-MLX/assets/cli-workflow.png
-
curl -L -o cli-workflow.png https://huggingface.co/cdelta/CorridorKey-v2-MLX/resolve/main/assets/cli-workflow.png
129 kB

- Xet hash:
- e74682f02f738f1e1428e5a581d9ec90b18dd43b5bac23b61e4607a04231312d
- Size of remote file:
- 129 kB
- SHA256:
- 614f86f4367ae5343169a7bbd9755cdffc9820682a122511adfcb56c9d8cde3c
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