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 Reset of Rejected SAM 3 Access β Academic Research
Hello Meta SAM 3 Team,
My request to access the SAM 3 Gating Group Collection was recently rejected.
I am a Master's student at Nanjing University of Posts and Telecommunications, China. My research focuses on computer vision and semi-supervised medical image segmentation.
I would like to use SAM 3 solely for non-commercial academic research, including medical image segmentation experiments, pseudo-label generation, and evaluation of foundation models for segmentation.
The model will only be used locally on our research servers. I will not redistribute the model weights or access credentials.
I will comply with the SAM License, Meta policies, Hugging Face terms, and all applicable trade-control requirements. My research does not involve military, weapons, surveillance, biometric identification, or other prohibited applications.
Could you please manually review my request, or reset my rejected status so that I can submit the access form again with complete information?
Hugging Face username: JohnStark34
Affiliation: Nanjing University of Posts and Telecommunications
Position: Master's Student
Intended use: Non-commercial academic research
Thank you very much for your time and consideration.