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
I just requested access to SAM 3.1
#495
by spottybadrabbit - opened
I'm requesting access to Sam 3.1 to test and benchmark across a bunch of use cases for a school research project that we're doing (to see how Sam works in three-dimensional space and with Gaussian splats). We're looking to test this out, and then eventually, over time, we publish our results in a paper on that.