Instructions to use facebook/dinov3-vitl16-pretrain-lvd1689m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov3-vitl16-pretrain-lvd1689m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov3-vitl16-pretrain-lvd1689m")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov3-vitl16-pretrain-lvd1689m") model = AutoModel.from_pretrained("facebook/dinov3-vitl16-pretrain-lvd1689m") - Notebooks
- Google Colab
- Kaggle
Urgent Access Request: Academic Submission Deadline
#11
by radhikaa101205 - opened
Hello DINOv3 team. I have submitted the agreement form for access to the vitl16 weights. I am an engineering student integrating DINOv3 into a custom instance segmentation pipeline for an academic project, and my final submission deadline is nearing. I would be incredibly grateful if a maintainer could expedite my access approval so I can run my final evaluation epochs. Thank you for your time and for open-sourcing this incredible model.