Instructions to use masapasa/breast-cancer-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masapasa/breast-cancer-segmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="masapasa/breast-cancer-segmentation")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("masapasa/breast-cancer-segmentation") model = AutoModelForMaskGeneration.from_pretrained("masapasa/breast-cancer-segmentation") - Notebooks
- Google Colab
- Kaggle
Create README.md
#2 opened about 1 month ago
by
selomn
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot