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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ayyuce/sam2rad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
a new pth model added
Verified signature9c12bc5 -
pth model added
Verified signaturead7a941
-
Update README.md
Verified signature3393699 -
trained for 50 epochs
Verified signaturecf77abb -
Update README.md
Verified signature709522e -
trained for 30 epochs
Verified signature7d03e43 -
trained for 10 epochs
Verified signaturebf26d4e
-
Trained for 6 epochs.
Verified signature338f9a5
-
Upload safetensors model with cloned tensors
Verified signature4631820 -
initial commit
Verified signature37190ce