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") - Notebooks
- Google Colab
- Kaggle
Access to SAM3
Hello, i'm an AI master degree student and i need access to SAM3 in order to do some academic research for my master thesis, i has been more than 10 days without a response, could you please check my demand ?
thanks
I am a Research Scientist at the Department of Primary Industries and Regional Development (DPIRD), Western Australia, and an Adjunct Research Fellow at the University of Western Australia. I intend to use SAM 3 for non-commercial academic research in precision agriculture, specifically open-vocabulary and exemplar-based segmentation of UAV multispectral and RGB imagery for tasks such as plant emergence detection, plot delineation, and annotation of crop-trial datasets. The model will primarily serve as a labelling assistant to accelerate dataset creation for downstream supervised models. I will not redistribute the weights and will comply with the SAM License terms.