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 / Reset of Rejected SAM 3 Access
Hello Meta SAM 3 Team,
My access request for the facebook/sam3 repository was recently rejected.
I would like to use SAM 3 for non-commercial academic research, primarily for image/video segmentation and automatic annotation of interactive object regions for 3D scene understanding and affordance research.
I will comply with the SAM License, Meta policies, and Hugging Face terms, and I will not redistribute the model weights.
Could you please manually review my request, or reset my rejected access status so that I can submit the access application again?
PhD researcher at The Hong Kong Polytechnic University
Intended use: academic computer vision / 3D reconstruction research
Local inference only
No military, surveillance, weapons, or restricted applications
No redistribution of checkpoints
Thank you for your time and consideration.