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 Rejected SAM3 Access
#646
by LV-123456 - opened
Dear SAM3 Team,
My request to access the facebook/sam3 model on Hugging Face was rejected.
I am a researcher working on remote sensing image change detection. I would like to use SAM3 for non-commercial academic research, particularly for bi-temporal region segmentation and change detection.
I will comply with the model license and usage policies and will not redistribute the model weights.
Could you please reconsider my request or reset my access status so that I can apply again?
Hugging Face username: LV-123456
Thank you for your consideration.