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 of Rejected SAM 3 Access β Academic Research (Columbia University)
Hi team,
I'm a second-year graduate student at Columbia University, currently based in New York, NY, USA.
I'm requesting access to the SAM 3 checkpoints for a personal academic research project involving segmentation experiments on a soft voxel modular robot. My intended use is strictly non-commercial and for academic/research purposes only β exploring promptable segmentation capabilities for robotics perception tasks.
My access request appears to have been rejected/pending, and I'd appreciate a manual review if possible. Happy to provide any additional information about my institution or project if needed.
Thank you for your time and for making this model available to the research community!
Best,
Wanglin He
Columbia University