Instructions to use MedMLX/segresnet-wholebody-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/segresnet-wholebody-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/segresnet-wholebody-mlx --local-dir segresnet-wholebody-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Add NOTICE
Browse files
NOTICE
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Original publisher: MONAI
|
| 2 |
+
Original source: https://huggingface.co/MONAI/wholeBody_ct_segmentation/tree/13f6d33ae9de6664571d935ee647039f477c3fad
|
| 3 |
+
Training data: TotalSegmentator; see DATA_LICENSE.txt.
|
| 4 |
+
|
| 5 |
+
Retain the applicable license, copyright and attribution notices; identify the upstream checkpoint, authors, and MLX conversion changes.
|
| 6 |
+
Include Apache-2.0, retain applicable upstream NOTICE content, and mark modifications.
|
| 7 |
+
|
| 8 |
+
MLX conversion by Joseph Sandoval and Alfredo Sandoval Jr.; no retraining.
|