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 reset rejected SAM 3 access application —jojo316228
Hello SAM 3 Team,
My access request for facebook/sam3 was rejected without a reason being shown. Could you please review my application or clarify whether any information needs to be corrected?
Hugging Face username: jojo316228
Affiliation: University of Shanghai for Science and Technology
Role: Student
I am writing to request access to SAM 3 for local use in my research. My advisor, whose research focuses on computer graphics, has asked me to study and learn to use the SAM 3 model. Specifically, I plan to use SAM 3 for text-guided object segmentation from RGB images, aiming to explore its capability in open-vocabulary visual perception and potential integration with geometric processing tasks.
I have already completed the application form and accepted the license and contact-information sharing terms. I will fully comply with the applicable model license.
I understand that my previous request was rejected. If possible, could you please grant access or reset my rejected request so that I can submit a corrected application? I am happy to provide any additional information or clarification you may require.
Thank you for your time and consideration.