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 or reset of rejected SAM3 access
#426
by coolcoolad - opened
Hello Meta SAM 3 team,
My access request for facebook/sam3 was rejected. Could you please manually review my request or reset its status so I can resubmit it?
I am reproducing the open-source CaP-X framework for non-commercial robotics research and evaluation. SAM3 will be used locally only for image segmentation and perception in robot-manipulation benchmarks. I will comply with the SAM 3 license and applicable policies, and I will not redistribute the model weights.
Please let me know if any additional information is required. Thank you for your consideration.
coolcoolad changed discussion status to closed
coolcoolad changed discussion status to open