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 to review or reset my rejected SAM3 access request
Subject: Request to reconsider SAM 3 access β birchloveyee
Hello SAM 3 Team,
My access request for facebook/sam3 was rejected, but no reason was displayed. Could you please review my request or let me know whether any information needs to be corrected?
Hugging Face username: birchloveyee
Affiliation: Sun Yat-sen University
Role: Student
I am interested in remote sensing and computer vision, particularly building segmentation and building function analysis. I would like to use SAM 3 locally for academic learning and research, exploring text-guided segmentation of buildings in remote sensing imagery and comparing its performance with task-specific segmentation methods.
I will comply with the applicable model license and access requirements. If my original application contained incomplete or incorrect information, I would appreciate the opportunity to correct it.
Could you please reconsider my request or reset it so that I can submit an updated application? I would be happy to provide any additional information needed.
Thank you for your time and consideration.
Best regards,
birchloveyee
Sun Yat-sen University