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
#358
by li-qian-qian - opened
Hello SAM 3 Team,
I am conducting non-commercial academic research in computer vision and would like to use SAM 3 for research and evaluation purposes.
My previous access request may not have included sufficient information. Could you please manually review my request or reset the rejected status so that I can submit the application again?
I will use the model only for academic research, comply with the applicable license and usage requirements, and will not redistribute the model weights.
Thank you for your time and consideration.
Best regards