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facebook
/
dino-vitb16

Image Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
vit
dino
vision
Model card Files Files and versions
xet
Community
9

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

  • Libraries
  • Transformers

    How to use facebook/dino-vitb16 with Transformers:

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

Adding `safetensors` variant of this model

#10 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#9 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#7 opened about 3 years ago by
SFconvertbot

write a short starting and ending paragraph of the article "Does Swiss Miss Have Caffeine?"

#6 opened about 3 years ago by
purplehary

Request: DOI

1
#4 opened about 3 years ago by
Rezz90

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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