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
Require
Hello Meta SAM 3 Team,
My access request for the facebook/sam3 repository was recently rejected. I would like to kindly request a manual review or a reset of my application status so that I can reapply.
I intend to use SAM 3 for non-commercial academic research and experimentation. The model will be used locally for research purposes only, and I will not redistribute the model weights.
If my previous application contained incomplete or unclear information, I would appreciate the opportunity to correct it and submit the access request again.
I confirm that I will comply with the SAM 3 license, acceptable-use policy, Meta Privacy Policy, and Hugging Face terms.
Hugging Face username: aeroland
Affiliation: BNU University
Thank you very much for your time and consideration.