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")# pip install -U transformers accelerate # 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 Reconsideration: Access to sam3 for VLN research
#688
by jh-yuan - opened
Dear Meta team,
I’m working on reproducing the paper OpenFrontier, a research project in the Vision-and-Language Navigation (VLN)field.
This work relies on the official SAM3 model to complete visual segmentation and scene understanding for navigation tasks.
My previous access application was rejected. I am only going to use SAM3 strictly for academic research and paper reproduction, and I will not use the model for any commercial purposes. I will fully comply with the license terms and Meta Privacy Policy.
Could you please reconsider my application and grant me access to SAM3? I really need this official weight to finish my reproduction experiment. Thank you very much for your time!
Best regard
jh-yuan