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 to review or reset my rejected SAM 3 access request
#502
by rex219 - opened
Hello SAM 3 team,
My access request for facebook/sam3 was rejected. I may not have clearly explained my intended use in the original form.
I am reproducing the ReA-OVCD research paper for academic study. I would like to use SAM 3 to evaluate open-vocabulary change detection on remote-sensing image pairs. The model would run locally on our lab server. I will comply with the applicable license and terms and will not redistribute the model weights.
Could you please review my request again, or reset it so I can submit a more complete application?
Thank you.