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
#356
by etoilij - opened
Hello SAM3 team,
My access request was rejected accidentally.
I am a student researcher from Wuhan University of Technology,
working on computer vision, medical image segmentation and
foundation model adaptation.
I would like to evaluate SAM3 for academic research purposes,
especially on downstream segmentation and SAM adaptation analysis.
Could you please reconsider my access request or reset my access status?
Thank you very much.
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