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
Request for manual review of rejected SAM 3 access
#445
by jycjycPKU - opened
Hello SAM 3 team,
My access request for facebook/sam3 was rejected. I am an undergraduate student at Peking University, researching instance segmentation of reconstructed 3D Gaussian Splatting scenes.
I would like to evaluate SAM 3 for generating 2D masks as supervision for a model trained with many views and deployed with fewer views.
Hugging Face username: jycjycPKU
Could you please reconsider my request, or let me know how I can correct and resubmit my application? I am happy to provide further information.
Thank you.