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 for Manual Review / Reset of Rejected SAM 3 Access
Dear SAM 3 Team,
My access request for the facebook/sam3 repository was recently rejected, and I would like to kindly request a manual review or a reset of my access request.
I am a student/researcher at the University of Electronic Science and Technology of China (UESTC). My research focuses on robotics, computer vision, and robotic manipulation.
I am interested in using SAM 3 for non-commercial academic research, particularly for image segmentation, object perception, open-vocabulary object understanding, and perception tasks related to robotic manipulation.
The model will only be used for research and experimentation. I will comply with the SAM 3 license and all applicable Meta and Hugging Face terms, and I will not redistribute the model weights.
If my previous request was rejected because some information was incomplete or unclear, I would greatly appreciate it if you could manually review my request or reset the rejected status so that I can submit the application again with complete information.
Hugging Face username: Kraziee
Affiliation: University of Electronic Science and Technology of China (UESTC)
Intended use: Non-commercial academic research in robotics and computer vision
Thank you very much for your time and consideration.
Best regards,
Kraziee