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 reconsideration of SAM3 access
#387
by cth-face - opened
Dear SAM3 Team,
My access request for facebook/sam3 was rejected. Could you please manually review or reset it for resubmission?
I am a student working on a non‑commercial computer‑vision project. I need SAM3 locally for development and experimentation only, and I will strictly comply with the SAM3 license and all usage restrictions.
Thank you for your time.