readme: ---
  tags:
  - image-classification
  - pytorch
  - huggingpics
  metrics:
  - accuracy
  
  model-index:
  - name: VIT_Basic
    results:
    - task:
        name: Image Classification
        type: image-classification
      metrics:
        - name: Accuracy
          type: accuracy
          value: 0.9107142686843872
  ---
  
  # VIT_Basic
  
  
  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
  
  
  #### chairs
  
  ![chairs](images/chairs.jpg)
  
  #### hot dog
  
  ![hot dog](images/hot_dog.jpg)
  
  #### ice cream
  
  ![ice cream](images/ice_cream.jpg)
  
  #### ladders
  
  ![ladders](images/ladders.jpg)
  
  #### tables
  
  ![tables](images/tables.jpg)