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 the Access to the SAM3
Hi,
I am writing to respectfully request a review of my recent access application for the facebook/sam3 repository. I am a researcher at the Dynamics and Robotics Control Laboratory at the University of Southern California.
My team is currently developing an automated pipeline for humanoid robotics that translates human-object interaction from video into robot motion control policies. To achieve this, we are integrating several frameworks—including CARI4D—and we require the SAM 3 model for robust 3D reconstruction tasks.
I have updated my account profile to use my institutional email address (zhangan@usc.edu) to verify my academic affiliation. Please let me know if you require any further information to process this request.
Thank you for your time and for making this research accessible.