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 for facebook/sam3 was rejected, and I would like to kindly request a manual review or a reset of my application.
I am a graduate student at Hefei University of Technology (HFUT), focusing on computer vision and deep learning. I would like to use SAM 3 for academic research on image segmentation, visual perception, and related computer vision tasks.
The model will be used locally for development and evaluation. I will comply with the SAM License, Meta policies, applicable trade-control requirements, and Hugging Face terms. I will not redistribute or publicly host the SAM 3 model weights.
Hugging Face username: baijuyi1213
Affiliation: Hefei University of Technology (HFUT)
Role: Graduate Student
If any information in my previous application was incomplete or inconsistent, I would appreciate the opportunity to correct it and resubmit my request.
Thank you for your consideration.