readme: ---
  tags:
  - image-classification
  - pytorch
  - huggingpics
  metrics:
  - accuracy
  
  model-index:
  - name: vit-world-landmarks
    results:
    - task:
        name: Image Classification
        type: image-classification
      metrics:
        - name: Accuracy
          type: accuracy
          value: 1.0
  ---
  
  # vit-world-landmarks
  
  
  Autogenerated by HuggingPics🤗🖼️
  
  Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
  
  Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).
  
  
  ## Example Images
  
  
  #### arc de triomphe
  
  ![arc de triomphe](images/arc_de_triomphe.jpg)
  
  #### big ben
  
  ![big ben](images/big_ben.jpg)
  
  #### la sagrada familia
  
  ![la sagrada familia](images/la_sagrada_familia.jpg)
  
  #### leaning tower of pisa
  
  ![leaning tower of pisa](images/leaning_tower_of_pisa.jpg)
  
  #### taj mahal
  
  ![taj mahal](images/taj_mahal.jpg)