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 AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/sam3") model = AutoModel.from_pretrained("facebook/sam3") - Notebooks
- Google Colab
- Kaggle
Request for Access Approval: AI Research on Autonomous Parking Perception
#172
by wooc-choi - opened
Hi team,
I am an AI researcher and developer working in the field of computer vision.
I recently requested access to the SAM 3 model to conduct research on autonomous parking systems. My goal is to evaluate and use the model to accurately detect parking slots and surrounding obstacles in various parking environments.
My access request is currently in the "Pending" state. Could you please review and approve my request so that I can proceed with my research?
Thank you for your time and for sharing this great model with the community!
Best regards,