Instructions to use ayoubkirouane/Breast-Cancer_SAM_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayoubkirouane/Breast-Cancer_SAM_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ayoubkirouane/Breast-Cancer_SAM_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("ayoubkirouane/Breast-Cancer_SAM_v1") model = AutoModelForMaskGeneration.from_pretrained("ayoubkirouane/Breast-Cancer_SAM_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3696e34 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7d2499914fd9b66571b83bb3d97743f7403f2895f1e4b9583afcd238077809b6
size 375050165
|