Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

facebook
/
dinov3-vitb16-pretrain-lvd1689m

Image Feature Extraction
Transformers
Safetensors
English
dinov3_vit
dino
dinov3
Model card Files Files and versions
xet
Community
11

Instructions to use facebook/dinov3-vitb16-pretrain-lvd1689m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/dinov3-vitb16-pretrain-lvd1689m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="facebook/dinov3-vitb16-pretrain-lvd1689m")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModel
    
    processor = AutoImageProcessor.from_pretrained("facebook/dinov3-vitb16-pretrain-lvd1689m")
    model = AutoModel.from_pretrained("facebook/dinov3-vitb16-pretrain-lvd1689m")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

[2025-08-29] Transformers library support

pinned
#7 opened 9 months ago by
patricklabatut

DINOv3 models download FAQ

pinned
#6 opened 9 months ago by
patricklabatut

i sent a request to this model

#10 opened about 1 month ago by
btspaniel

requeste

#9 opened about 2 months ago by
foreason

Request for Reconsideration of Access to DINOv3

#8 opened 2 months ago by
ChengPenguf
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs