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 to reconsider SAM3 access for academic research
#692
by Zixuan-012 - opened
Hello SAM3 team,
My Hugging Face username is Zixuan-012. I’m a student at The Chinese University of Hong Kong, Shenzhen, and I requested access to SAM3 to reproduce the perception pipeline in CaP-X for academic research on robot manipulation in MuJoCo.
My access request was rejected. Could you please reconsider it or let me know if any information was missing? If I need to submit an updated application, could you reset my request so I can reapply?
Thank you for your time.