Image Segmentation
MLX
English
native-mlx
apple-silicon
medical-imaging
mri
brain-tumor
segmentation
research
Instructions to use MedMLX/segresnet-brats-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/segresnet-brats-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/segresnet-brats-mlx --local-dir segresnet-brats-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download NOTICE from MedMLX/segresnet-brats-mlx: direct link, hf CLI and curl.
- Browser
- Download file 396 Bytes
-
https://huggingface.co/MedMLX/segresnet-brats-mlx/resolve/main/NOTICE
- Command line
-
hf download hf://MedMLX/segresnet-brats-mlx/NOTICE
-
curl -L -o NOTICE https://huggingface.co/MedMLX/segresnet-brats-mlx/resolve/main/NOTICE
396 Bytes
| Original publisher: MONAI | |
| Original source: https://huggingface.co/MONAI/brats_mri_segmentation | |
| Retain the applicable license, copyright and attribution notices; identify the upstream checkpoint, authors, and MLX conversion changes. | |
| Include Apache-2.0, retain applicable upstream NOTICE content, and mark modifications. | |
| MLX conversion by Joseph Sandoval and Alfredo Sandoval Jr.; no retraining. | |