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 SAM3
#465
by Jay1guo - opened
Hello Meta SAM 3 team,
My Hugging Face username is Jay1guo. My access request to the SAM 3 gated collection was still under pending after submission.
Could you please manually review my request? I am happy to provide additional information if required.
Thank you.