readme: ---
  tags:
  - image-classification
  - pytorch
  - huggingpics
  datasets:
  - sasha/dog-food
  metrics:
  - accuracy
  - f1
  model-index:
  - name: dog-food-swin-tiny-patch4-window7-224
    results:
    - task:
        name: Image Classification
        type: image-classification
      dataset:
        name: Dog Food
        type: sasha/dog-food
      metrics:
        - name: Accuracy
          type: accuracy
          value: 1.0
  ---
  
  # dog-food-swin-tiny-patch4-window7-224
  
  
  This model was trained on the `train` split of the [Dogs vs Food](https://huggingface.co/datasets/sasha/dog-food) dataset -- try training your own using the 
  [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb)!
  
  
  
  
  ## Example Images
  
  
  #### dog
  
  ![dog](images/dog.jpg)
  
  #### food
  
  ![food](images/food.jpg)