Instructions to use facebook/sam3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/sam3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="facebook/sam3")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/sam3") model = AutoModel.from_pretrained("facebook/sam3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#153
by jeb0811 - opened
Hello, I am a postgraduate student majoring in Computer Science at China University of Mining and Technology. My research direction is image dynamic segmentation, and I intend to conduct experiments using the SAM3 model. My work is purely for academic research purposes and does not involve any commercial use. I promise to fully comply with the university’s ethical guidelines and the model’s license agreement. My ORCID iD is: 0009-0007-6435-5918.
have they approved you yet?