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 Review of Rejected SAM 3 Access β Hugging Face Username: asdfafdasfd
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: asdfafdasfd
Affiliation: Harbin Institute of Technology
Role: Graduate student (first-year)
I would like to use SAM 3 locally for learning and reproducing referring segmentation experiments. Specifically, SAM 3 would provide text-guided object segmentation from RGB observations for referring segmentation workflows.
I have completed the application form and accepted the license and contact-information sharing terms. I will comply with the applicable model license.
If additional information is required, please let me know. If possible, could you grant access or reset my rejected request so that I can submit a corrected application?
Thank you for your time.
Best regards,
ZhiKai Li
Hugging Face username: asdfafdasfd
Affiliation: Harbin Institute of Technology
Research direction: Referring Segmentation