Instructions to use ml-resources/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml-resources/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="ml-resources/sam3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ml-resources/sam3") model = AutoModel.from_pretrained("ml-resources/sam3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Yesterday
-
Mirror facebook/sam3
Verified signature20961f4