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
#497
by Hazel-ZHOU - opened
Hello SAM3 team,
I am a graduate student in Construction Management and would like to use SAM3 for academic research.
My research focuses on automated building defect inspection, including concrete crack detection, concrete spalling segmentation, and corrosion/exposed rebar analysis. I plan to conduct experiments using SAM3 with LoRA fine-tuning on my research dataset.
I have reviewed and agreed to the applicable terms. My Hugging Face username is Hazel-ZHOU.
My previous access request was rejected, so I would like to kindly request a manual review or reset of my access request.
Thank you very much for your time and consideration.