Instructions to use ayyuce/sam2rad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayyuce/sam2rad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ayyuce/sam2rad")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ayyuce/sam2rad", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0cb42623cb1c79e8c098406ce80a41c3d99f3f167b253b4a8c3e86a487b2106
- Size of remote file:
- 179 MB
- SHA256:
- db651abe366b7f2057985f96bb6968ab02f45e7d0d2dd4e6ae03a2369a9fcea3
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