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
Title: Request for Manual Review / Reset
#686
by georgecao-001 - opened
Hello SAM 3 team,
My access request for SAM 3 was rejected because I may have provided incorrect or incomplete information in the application form.
I would like to use SAM 3 for computer vision and robotic perception research experiments.
Could you please reset my rejected application so that I can resubmit it with the correct information, or manually reconsider my request?
Thank you very much for your help.