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
File size: 1,039 Bytes
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"name": "Segmentation of X",
"description": "Segmentation",
"reference": "Jakob",
"licence": "-",
"release": "0.0",
"channel_names": {
"0": "CT"
},
"labels": {
"background": 0,
"rib_left_1": 1,
"rib_left_2": 2,
"rib_left_3": 3,
"rib_left_4": 4,
"rib_left_5": 5,
"rib_left_6": 6,
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"rib_left_8": 8,
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"rib_left_10": 10,
"rib_left_11": 11,
"rib_left_12": 12,
"rib_right_1": 13,
"rib_right_2": 14,
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"rib_right_10": 22,
"rib_right_11": 23,
"rib_right_12": 24,
"sternum": 25,
"costal_cartilages": 26
},
"numTraining": 1559,
"file_ending": ".nii.gz",
"overwrite_image_reader_writer": "NibabelIOWithReorient"
} |