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 of rejected SAM 3 access request
Hello SAM 3 Team,
My access request for the facebook/sam3 repository was rejected, and I would like to kindly request a manual review of my application.
I am an undergraduate student at Shandong University. I plan to use SAM 3 only for non-commercial academic research related to robotic manipulation, affordance perception, and image segmentation. Specifically, I would like to use SAM 3 to identify and segment target objects in robot perception images and evaluate the segmentation results in our research project.
I will comply with the SAM 3 license, Meta policies, and Hugging Face terms, and I will not redistribute the model weights.
If possible, could you please manually review my request, or reset my rejected access status so that I can submit the application again?
Hugging Face username: YorkChan
Affiliation: Shandong University
Role: Undergraduate Student
Thank you very much for your help