Instructions to use facebook/dinov3-vits16-pretrain-lvd1689m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov3-vits16-pretrain-lvd1689m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov3-vits16-pretrain-lvd1689m")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov3-vits16-pretrain-lvd1689m") model = AutoModel.from_pretrained("facebook/dinov3-vits16-pretrain-lvd1689m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Request for DINOv3 access🙏
#11
by 8ruceLi - opened
Hi, I recently submitted an access request for the DINOv3 model collection and received a rejection notification (submitted on Jul 14). Could someone let me know the reason for the rejection and whether there is a way to reapply or appeal? I am a researcher using this model for academic purposes in a video generation project. Any guidance would be appreciated. Thank you.