Instructions to use mlx-community/NAFNet-GoPro-width64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/NAFNet-GoPro-width64 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/NAFNet-GoPro-width64 --local-dir NAFNet-GoPro-width64
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model.safetensors from mlx-community/NAFNet-GoPro-width64: direct link, hf CLI and curl.
- Browser
- Download file 272 MB
-
https://huggingface.co/mlx-community/NAFNet-GoPro-width64/resolve/main/model.safetensors
- Command line
-
hf download hf://mlx-community/NAFNet-GoPro-width64/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mlx-community/NAFNet-GoPro-width64/resolve/main/model.safetensors
272 MB
- Xet hash:
- 8b627db5298bbb123bc68581528840257b0a7d937a3a0247c308d34a4a50f302
- Size of remote file:
- 272 MB
- SHA256:
- 53d808d8f74bac6817055b01361bf2a13f73506391a84940bac7238aa400387e
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