Instructions to use mmrech/MedSam-Breast-Cancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmrech/MedSam-Breast-Cancer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="mmrech/MedSam-Breast-Cancer")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("mmrech/MedSam-Breast-Cancer") model = AutoModelForMaskGeneration.from_pretrained("mmrech/MedSam-Breast-Cancer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Duplicate from MichaelSoloveitchik/MedSam-Breast-Cancer
Co-authored-by: Michael Soloveitchik <MichaelSoloveitchik@users.noreply.huggingface.co>8d74de8