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 for review of rejected SAM 3 access
#642
by yang05231 - opened
Hello SAM 3 team,
I am a graduate student conducting academic research in CV.
My access request was rejected, and I would be grateful if you could review it or reset it so I can provide any additional information needed.
My Hugging Face username is yang05231.
I will use the model for academic research and comply with the SAM 3 license and Hugging Face terms. I will not redistribute the model weights.
Thank you for your time and consideration.