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
Request for Manual Review of Rejected SAM 3 Access
#699
by forests2026 - opened
Hello Meta SAM 3 Team,
My access request for facebook/sam3, submitted on November 5, 2026, was rejected. I would like to kindly request a manual review.
My Hugging Face username is forests2026.
I plan to run SAM 3 locally on my Windows computer for learning and experimenting with image segmentation and computer vision.
I am willing to comply with all applicable license terms and usage requirements.
Could you please reconsider my application or reset my access request so I can apply again? If any information needs to be corrected, I would be happy to provide it.
Thank you for your time and consideration.
Best regards,
forests2026