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 to SAM3 model for research purposes
Hello SAM3 team,
I am writing to kindly request that my access to the SAM3 model weights be reviewed and approved.
I am a computer vision researcher working on visual place recognition for GPS-denied aerial drones at a national research institute in South Korea . I am integrating SAM3's open-vocabulary segmentation into a VPR pipeline as part of an ongoing research project, comparing it against SAM1/SAM2 baselines on aerial datasets.
My usage is strictly for local academic research and experimentation. I will not redistribute the weights or use them commercially.
I have the runtime environment ready and have been waiting for approximately two weeks since my initial request on March 28. I would greatly appreciate it if you could manually grant access.
Thank you very much.
Best regards,
hyuneun