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 β chchnii
Hello Meta SAM 3 Team,
My access request for the facebook/sam3 repository was rejected.
I would appreciate it if you could manually review my request or
reset its status to pending so that I can submit the information again.
Full organization name: University of Science and Technology
Research purpose: evaluate SAM 3 for non-commercial academic research on
segmenting objects in remote-sensing images.
I confirm that the information in my Hugging Face profile is accurate,
and I will comply with the SAM 3 license, acceptable-use requirements,
and applicable privacy and data-protection policies. I will not
redistribute the model weights or provide unauthorized public access.
Best regards,
xiqian yu
Hugging Face username: chchnii