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 SAM 3
#279
by SmartJian - opened
Hi SAM 3 Team,
My access request was rejected.
My name is Jian Gao, and I am a student at the Central Conservatory of Music, specializing in Music Artificial Intelligence. I am currently conducting academic research on monocular motion capture for string instrument performance.
I would like to use SAM 3 to generate instrument masks for violins and cellos in performance videos. These masks will support subsequent instrument tracking and 3D motion reconstruction in my research.
Could you please reconsider my access request?
Thank you very much for your time and consideration.
Best regards,
Jian Gao