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
#634
by Faisalhamdi - opened
Hello SAM 3 Team,
I’m a graduate student at Tongji University, and my Hugging Face username is Faissalhamdi. My access request was rejected despite applying with my university email.
I intend to use SAM 3 for non-commercial academic research on satellite-image change detection and will comply with its license and usage policies.
Could you please review my request or reset its status? I can provide proof of university affiliation if needed.
Thank you!