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 SAM3 Access
Hello Meta SAM Team,
My access request to facebook/sam3 was recently rejected. I would like to kindly request a manual review of my application, or a reset of my access status so that I can resubmit the request with complete information.
I am a Ph.D. researcher and intend to use SAM3 strictly for non-commercial academic research in computer vision / 3D perception. The model will only be used locally for research experiments, and I will not redistribute the model weights. I will fully comply with the SAM3 license, acceptable-use requirements, and all applicable terms.
Hugging Face username: hitsuyi
Academic affiliation: qsinghua unviersity
I would greatly appreciate it if you could reconsider my request or reset the application status so that I can submit the access request again.
Thank you very much for your time and consideration.