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
Link and cite the MedMLX paper
Browse files
README.md
CHANGED
|
@@ -28,3 +28,17 @@ totalsegmentator-mlx predict -i ct.nii.gz -o mask.nii.gz --model-dir models
|
|
| 28 |
```
|
| 29 |
|
| 30 |
The `total` and `body` tasks are distributed by the authors under Apache-2.0. See the [upstream repository](https://github.com/wasserth/TotalSegmentator) and the included license for terms and attribution. Please cite TotalSegmentator and nnU-Net as described by the upstream authors. For research and education; outputs require human review.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
```
|
| 29 |
|
| 30 |
The `total` and `body` tasks are distributed by the authors under Apache-2.0. See the [upstream repository](https://github.com/wasserth/TotalSegmentator) and the included license for terms and attribution. Please cite TotalSegmentator and nnU-Net as described by the upstream authors. For research and education; outputs require human review.
|
| 31 |
+
|
| 32 |
+
## Citation
|
| 33 |
+
|
| 34 |
+
If you use MedMLX, please cite the [MedMLX paper](https://doi.org/10.64898/2026.10.28.26366762):
|
| 35 |
+
|
| 36 |
+
```bibtex
|
| 37 |
+
@article{sandoval2026medmlx,
|
| 38 |
+
title = {MedMLX: On-Device Medical Imaging AI for Apple Silicon},
|
| 39 |
+
author = {Sandoval, A. and Sandoval, J. and Saleem, A.},
|
| 40 |
+
journal = {medRxiv},
|
| 41 |
+
year = {2026},
|
| 42 |
+
doi = {10.64898/2026.10.28.26366762}
|
| 43 |
+
}
|
| 44 |
+
```
|