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")# pip install -U transformers accelerate # 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 - @shen123456789
#521
by shen123456789 - opened
Hello Meta SAM3 Team,
My access request for facebook/sam3 was rejected, but no rejection reason was shown and I did not receive an explanation by email.
I am a student working on a personal learning project involving small industrial component detection and segmentation. I plan to evaluate SAM3 locally on an RTX 5090 to assist annotation preparation for a YOLO model. This is a non-commercial learning project.
My Hugging Face username is @shen123456789 .
Could you please manually review my application, explain which information needs correction, or reset the rejected request so I can submit accurate information again? I will follow the applicable model license and usage terms.
Thank you for your help.