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 to reset rejected SAM3 access request
Hello SAM 3 Team,β
My access request for the facebook/sam3 repository was rejected, and I would like to kindly request a manual review or a reset of my access status so that I can provide any additional information required.β
Hugging Face username: elaine223β
I am using SAM 3 for building inspection and computer-vision research, specifically for segmenting and annotating building defects such as cracks, concrete spalling, and corrosion in inspection photographs. The model will be used locally to assist with dataset annotation and evaluation for defect-detection research.β
I am happy to comply with the SAM 3 license and applicable usage requirements, and I can provide further information about the intended use if needed.β
Could you please reconsider my request or reset the application status so that I can reapply?β
Thank you.