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
Request for re-review of rejected access
#285
by Zoet2004 - opened
Hi Meta SAM3 team,
My previous access request was rejected. I would like to kindly request a re-review.
HF username: Zoet2004
Affiliation: University of Dundee, UK
Use case: Academic research on 4D scene reconstruction and video generation. I am reproducing the Vista4D pipeline, which uses SAM3 for temporally consistent dynamic object and sky segmentation as a preprocessing step. Inference only on our own lab servers; no commercial use, no redistribution of model weights.
Thank you for your time and consideration.
Best regards,
Xinrui Tang