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 Academic UAV Urban Research
Hello Meta SAM 3 Team,
My access request for the SAM 3 gated repositories was rejected, but no rejection reason was shown. I would respectfully like to request a manual review, or a reset of the rejected application so that I can resubmit any information that may have been incomplete or unclear.
Hugging Face username: cgjiahui Affiliation: Nanjing University Role: Student
My intended use is non-commercial academic research on UAV and aerial urban imagery. I plan to evaluate SAM 3 for detecting and segmenting individual buildings and other urban structures such as roads and water, with the longer-term goal of 3D city modeling research.
The model will be used locally for research and evaluation. I will not redistribute the model weights and will comply with the SAM 3 License, the Meta Privacy Policy, and all applicable laws and usage restrictions.
If any information in my previous application was incomplete or inconsistent, please allow me to correct and resubmit it.
Thank you for your consideration.