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 Manual Review of Rejected SAM 3 Access
Dear Meta SAM 3 Team,
My previous request to access the SAM 3 Gating Group Collection was rejected. I would like to kindly request a manual review of my application, or a reset of the rejected status so that I can submit the access request again.
I am conducting non-commercial academic research in the field of medical hyperspectral image segmentation. I would like to use SAM 3 as part of my research to investigate segmentation methods for medical hyperspectral images and evaluate its applicability in this domain.
The model will only be used locally for academic research and experimental purposes. I will not redistribute the model weights, checkpoints, credentials, or provide unauthorized access to the model.
I will comply with the SAM 3 license, acceptable-use requirements, Meta policies, and Hugging Face terms.
Could you please manually review my request or reset the rejected status so that I can submit the application again?
Hugging Face username: anyabg
Affiliation: Jinan University
Position: Student
Intended use: Non-commercial academic research on medical hyperspectral image segmentation
Thank you for your consideration.