Instructions to use akramzine/sam2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akramzine/sam2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="akramzine/sam2")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("akramzine/sam2") model = AutoModel.from_pretrained("akramzine/sam2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K