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 of Rejected SAM 3 Access
Dear Meta SAM 3 Team,
My request to access the SAM 3 Gating Group Collection was rejected, possibly because my original application did not include enough information about my intended use.
I am a student/researcher working on non-commercial academic research in remote-sensing image segmentation and oriented object detection. I intend to evaluate SAM 3 as a point-prompted mask-generation component in the Point2RBox-v3 research framework.
The model will be used locally for academic experiments only. I will not redistribute the checkpoint, credentials, or provide unauthorized access to the model. I will comply with the SAM 3 license, acceptable-use requirements, Meta policies, and Hugging Face terms.
Could you please manually review my request or reset the rejected status so that I can submit the complete information again?
Hugging Face username: aleposwevy
Affiliation: I study in Northestern University and do my research in VisionXLab , Shanghai Jiao Tong University
Position: Student
Intended use: Non-commercial academic research in remote-sensing image segmentation
Thank you for your consideration.