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 reconsideration of rejected SAM 3 access Academic Research
Dear Meta SAM 3 Team,
My access request to the SAM 3 model repository was recently rejected. I would be grateful if you could reconsider or manually reset my request.
Hugging Face Username:wu9mingxuan
Affiliation: Huazhong University of Science and Technology,China
Position: Master Student
Intended Use: I plan to use SAM 3 for academic research on promptable concept segmentation for medical images. It will be strictly for non-commercial evaluation and prototyping.
I will fully comply with the Meta license terms and Hugging Face policies. The model weights and access credentials will not be redistributed or used for any commercial or prohibited purposes.
If additional information about my project or affiliation is required, I would be happy to provide it. Thank you for your time and consideration.
Best regards,
Mingxuan Wu