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 Manual Review of SAM 3 Repository Access
Dear Meta AI Team,
My recent request for access to the SAM 3 repository was denied, and I would like to ask whether it would be possible to request a manual review or resubmit my application.
I am a master’s student at Hubei University, and my research focuses on 3D tooth image segmentation.
Recently, I have been working on a research project exploring the application of SAM 3.1 to 3D tooth segmentation, with the goal of improving segmentation accuracy and supporting the development and evaluation of medical imaging models.
I hope to use SAM 3 for benchmarking and evaluation in my research workflow, strictly for non-commercial academic research purposes. I will fully comply with the SAM 3 license agreement and acceptable use policy.
I suspect that my previous application may have been denied because my institutional information was incomplete or because some submitted details were incorrect. If necessary, I would be happy to provide additional supporting materials, such as my institutional email address, GitHub profile, or Google Scholar profile.
Thank you very much for your time and consideration.
Sincerely,
Master’s Student, Hubei University