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 292/dataset.json from MedMLX/totalsegmentator-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.07 kB
-
https://huggingface.co/MedMLX/totalsegmentator-mlx/resolve/main/292/dataset.json
- Command line
-
hf download hf://MedMLX/totalsegmentator-mlx/292/dataset.json
-
curl -L -o dataset.json https://huggingface.co/MedMLX/totalsegmentator-mlx/resolve/main/292/dataset.json
1.07 kB
| { | |
| "name": "Segmentation of X", | |
| "description": "Segmentation", | |
| "reference": "Jakob", | |
| "licence": "-", | |
| "release": "0.0", | |
| "labels": { | |
| "background": 0, | |
| "sacrum": 1, | |
| "vertebrae_S1": 2, | |
| "vertebrae_L5": 3, | |
| "vertebrae_L4": 4, | |
| "vertebrae_L3": 5, | |
| "vertebrae_L2": 6, | |
| "vertebrae_L1": 7, | |
| "vertebrae_T12": 8, | |
| "vertebrae_T11": 9, | |
| "vertebrae_T10": 10, | |
| "vertebrae_T9": 11, | |
| "vertebrae_T8": 12, | |
| "vertebrae_T7": 13, | |
| "vertebrae_T6": 14, | |
| "vertebrae_T5": 15, | |
| "vertebrae_T4": 16, | |
| "vertebrae_T3": 17, | |
| "vertebrae_T2": 18, | |
| "vertebrae_T1": 19, | |
| "vertebrae_C7": 20, | |
| "vertebrae_C6": 21, | |
| "vertebrae_C5": 22, | |
| "vertebrae_C4": 23, | |
| "vertebrae_C3": 24, | |
| "vertebrae_C2": 25, | |
| "vertebrae_C1": 26 | |
| }, | |
| "numTraining": 1532, | |
| "channel_names": { | |
| "0": "CT" | |
| }, | |
| "file_ending": ".nii.gz", | |
| "overwrite_image_reader_writer": "NibabelIOWithReorient" | |
| } |