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 to facebook/sam3 was recently rejected. I would like to kindly request a manual review or a reset of my rejected access request so that I can resubmit the information if necessary.
Hugging Face username: [IsaiahTsui]
Affiliation:
Shanghai University of Sport
Status:
PhD student
Intended use:
I plan to use SAM 3 solely for non-commercial academic research in sports video analysis, particularly basketball player and ball segmentation/tracking, and to reproduce the open-source BasketEvent project.
I will not redistribute the model weights and will comply with the applicable license, acceptable use policy, and privacy requirements.
If any information in my original application was incomplete or unclear, I would be happy to provide corrected information.
Thank you for your consideration.