Instructions to use MedMLX/totalsegmentator-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/totalsegmentator-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/totalsegmentator-mlx --local-dir totalsegmentator-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download 295/conversion.json from MedMLX/totalsegmentator-mlx: direct link, hf CLI and curl.
- Browser
- Download file 429 Bytes
-
https://huggingface.co/MedMLX/totalsegmentator-mlx/resolve/main/295/conversion.json
- Command line
-
hf download hf://MedMLX/totalsegmentator-mlx/295/conversion.json
-
curl -L -o conversion.json https://huggingface.co/MedMLX/totalsegmentator-mlx/resolve/main/295/conversion.json
429 Bytes
| { | |
| "architecture": "dynamic_network_architectures.architectures.unet.PlainConvUNet", | |
| "configuration": "3d_fullres", | |
| "engine_version": "0.5.2", | |
| "folds": [ | |
| { | |
| "checkpoint": "checkpoint_final", | |
| "fold": 0, | |
| "mirroring_axes": [], | |
| "source_checkpoint": "checkpoint_final.pth" | |
| } | |
| ], | |
| "schema_version": "nnunet-mlx.conversion.v1", | |
| "source_profile": "totalsegmentator-v2-ct", | |
| "spatial_dims": 3 | |
| } | |