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") - Notebooks
- Google Colab
- Kaggle
Request for reconsideration of rejected access
Hello SAM 3 Team,
My access request for the facebook/sam3 repository was recently rejected. I would appreciate it if you could manually review my request or reset its status so that I can submit the required information again.
Hugging Face username: Ny-et.
I am an undergraduate GIS student at China University of Geosciences in China. I intend to use SAM 3 solely for non-commercial academic research involving remote-sensing image segmentation and dataset annotation.
My work does not involve military, weapons, surveillance, or other restricted applications. I agree to comply with the SAM License, applicable trade-control requirements, and the Meta Privacy Policy.
Please let me know if any additional information is required.
Thank you for your time and consideration.