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 reconsideration of rejected SAM 3 access
Hello SAM 3 Team,
My access request for the facebook/sam3 repository was rejected.
I would like to kindly request a manual reconsideration, or if possible, a reset of my access request so that I can submit my information again correctly.
Hugging Face username:banjuhua
I am a student at Guangxi University conducting non-commercial academic research on UAV-based building understanding, including building facade component segmentation, material recognition, 3D Gaussian Splatting, and RGB-thermal building analysis.
SAM 3 will only be used locally as a research baseline for building component segmentation and comparison with our existing semantic segmentation model.
The model and checkpoint will not be redistributed, and I will comply with the SAM 3 license, Meta policies, and Hugging Face access requirements.
If any information in my previous request was incomplete or incorrect, I am willing to provide the correct information.
Could you please manually review my request, or reset its status so that I can apply again?
Thank you very much for your time.