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
Install the published PyPI release
Browse files
README.md
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```bash
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uv pip install \
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"nnunet-mlx
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"totalsegmentator-mlx
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huggingface-hub
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hf download MedMLX/totalsegmentator-mlx --revision 6c03d6f90ccf53f224c3985cbdecf1eaa96555af --local-dir models
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totalsegmentator-mlx predict -i ct.nii.gz -o mask.nii.gz --model-dir models
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```bash
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uv pip install \
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"nnunet-mlx>=0.6.1" \
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"totalsegmentator-mlx>=0.1.4" \
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huggingface-hub
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hf download MedMLX/totalsegmentator-mlx --revision 6c03d6f90ccf53f224c3985cbdecf1eaa96555af --local-dir models
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totalsegmentator-mlx predict -i ct.nii.gz -o mask.nii.gz --model-dir models
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