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")# pip install -U transformers accelerate # 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 to reconsider SAM3 access
#514
by easonon - opened
Hello SAM3 Team,
My access request to facebook/sam3 was rejected. I would like to request a manual review or reset of my application.
I am using SAM3 for a non-commercial academic course project on reproducing the SteerViT paper. The model will only be used locally for research evaluation and benchmarking. I will comply with the SAM3 license and Hugging Face terms, and I will not redistribute the model weights.
Hugging Face username: YOUR_USERNAME
Thank you for your consideration.