readme: ---
  tags:
    - fastai
    - resnet
    - computer-vision
    - classification
    - image-classification
    - binary-classification
  license:
    - cc0-1.0
  ---
  
  # Resnet34 Pokemon Card Classifier
  
  ## Model Description
  
  This is a resnet34 model fine-tuned with fastai to [classify real and fake Pokemon cards (dataset)](https://www.kaggle.com/datasets/ongshujian/real-and-fake-pokemon-cards).
  
  Here is a colab notebook that shows how the model was trained and pushed to the hub: [link](https://github.com/mindwrapped/pokemon-card-checker/blob/main/pokemon_card_checker.ipynb).
  
  ## Intended uses & limitation
  
  This model is trained to identify real vs fake cards based on the backs of the cards, not the front.
  
  ## How to use
  
  ```python
  from huggingface_hub import from_pretrained_fastai
  
  # Pull model from hub
  learn = from_pretrained_fastai('hugginglearners/pokemon-card-checker')
  
  # Get prediction for this image
  pred_label, _, scores = learn.predict(img)
  ```
  
  ## Training data
  
  Dataset located here: [link](https://www.kaggle.com/datasets/ongshujian/real-and-fake-pokemon-cards).
  