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 / Reset of Rejected SAM 3 Access
Hello SAM 3 Team,
My access request for the facebook/sam3 model on Hugging Face was rejected, and I would like to kindly request a manual review or a reset of my access request so that I can reapply if necessary.
I am a master's student conducting non-commercial academic research in computer vision and image segmentation. I plan to use SAM 3 locally to evaluate prompt-based image segmentation on my own experimental images.
My research involves identifying and segmenting different structural regions in engineering images and evaluating the segmentation performance using text, point, and box prompts. The model will be used only for academic research and experimentation.
I will comply with the applicable SAM 3 license and Hugging Face/Meta terms, and I will not redistribute the model weights.
Could you please manually review my rejected request, or reset its status so that I can submit the access request again?
Hugging Face username: Limixin
Affiliation: Southeast University
Thank you very much for your help.