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 a review of the decision to decline my access to the SAM3 model weights
#635
by WHY202603 - opened
Dear SAM3 Team, I am writing to respectfully request a review of the decision to decline my access to the SAM3 model weights on Hugging Face. I am willing to comply with all applicable license terms, usage restrictions, and access requirements. If my original application was incomplete or unclear, I would appreciate the opportunity to clarify my intended use and provide any additional information needed. Could you please reconsider my request, or let me know the reason for the rejection and whether there are any steps I can take to meet your requirements? Thank you for your time and consideration.