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
Hello Meta SAM 3 Team,
My access request to the SAM 3 gated repositories was rejected, but no reason was provided. I would respectfully like to request a manual review or a reset of my application.
I am Junli Ren, a PhD student at The University of Hong Kong. My research focuses on humanoid robotics, robot learning, and egocentric perception. I intend to use SAM 3 for non-commercial academic research involving object segmentation and tracking in egocentric robot-camera observations. The model will be used locally for research and evaluation only. I will comply with the SAM 3 license and applicable usage restrictions and will not redistribute the model weights or access credentials.
Hugging Face username: JunliR
Affiliation: The University of Hong Kong
Position: PhD Student
Could you please reconsider my request or reset it so that I can resubmit the required information?
Thank you for your consideration.
Best regards,
Junli Ren