Instructions to use facebook/dinov3-vit7b16-pretrain-lvd1689m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov3-vit7b16-pretrain-lvd1689m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov3-vit7b16-pretrain-lvd1689m")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov3-vit7b16-pretrain-lvd1689m") model = AutoModel.from_pretrained("facebook/dinov3-vit7b16-pretrain-lvd1689m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Request to reconsider DINOv3 access application
#27
by deleted - opened
Hello DINOv3 team,
I am a graduate student from UIUC, and I accidentally made some mistake when I filled in the information for the access request form for facebook/dinov3-vits16-pretrain-lvd1689m. My request from https://ai.meta.com/resources/models-and-libraries/dinov3-downloads/ was approved for this email. Is it possible for me to reapply again for access?
Thank you for your help.