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") - Notebooks
- Google Colab
- Kaggle
[2025-08-29] Transformers library support
pinned#5 opened 9 months ago
by
patricklabatut
DINOv3 models download FAQ
pinned#4 opened 9 months ago
by
patricklabatut
Request for Reconsideration of DINOv3 Access
#8 opened about 1 month ago
by
zhouxi-123
Request for Reconsideration of Access to DINOv3 ViT-S
#7 opened 3 months ago
by
Integer003
Resubmit Access Application
#6 opened 8 months ago
by
gmaz3
DinoV3 for image matching
#3 opened 9 months ago
by
sagaragrawal
Attention Outputs
1
#2 opened 9 months ago
by
saburq