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
#481
by Mei-xiying - opened
Hello SAM 3 team,
My request for access to SAM 3 was rejected. My Hugging Face username is Mei-xiying.
I am an undergraduate student conducting academic research on underwater open-vocabulary image segmentation. I would like to evaluate SAM 3 as part of research building on Earth2Ocean.
Could you please review my access request and let me know whether any information needs clarification or correction? I can provide further details through an appropriate private channel if needed.
Thank you for your time.