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: 1,035 Bytes
6c03d6f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | {
"name": "Segmentation of X",
"description": "Segmentation",
"reference": "Jakob",
"licence": "-",
"release": "0.0",
"labels": {
"background": 0,
"spleen": 1,
"kidney_right": 2,
"kidney_left": 3,
"gallbladder": 4,
"liver": 5,
"stomach": 6,
"pancreas": 7,
"adrenal_gland_right": 8,
"adrenal_gland_left": 9,
"lung_upper_lobe_left": 10,
"lung_lower_lobe_left": 11,
"lung_upper_lobe_right": 12,
"lung_middle_lobe_right": 13,
"lung_lower_lobe_right": 14,
"esophagus": 15,
"trachea": 16,
"thyroid_gland": 17,
"small_bowel": 18,
"duodenum": 19,
"colon": 20,
"urinary_bladder": 21,
"prostate": 22,
"kidney_cyst_left": 23,
"kidney_cyst_right": 24
},
"numTraining": 1559,
"channel_names": {
"0": "CT"
},
"file_ending": ".nii.gz",
"overwrite_image_reader_writer": "NibabelIOWithReorient"
} |