readme: ---
  tags:
  - image-classification
  - pytorch
  - huggingpics
  metrics:
  - accuracy
  
  model-index:
  - name: fancy-animales
    results:
    - task:
        name: Image Classification
        type: image-classification
      metrics:
        - name: Accuracy
          type: accuracy
          value: 0.9464285969734192
  ---
  
  # fancy-animales
  
  Just for fun and to test the template!
  
  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
  
  
  #### chow chow
  
  ![chow chow](images/chow_chow.jpg)
  
  #### panda
  
  ![panda](images/panda.jpg)
  
  #### penguin
  
  ![penguin](images/penguin.jpg)
  
  #### sloth
  
  ![sloth](images/sloth.jpg)
  
  #### wombat
  
  ![wombat](images/wombat.jpg)