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Resnet34 Pokemon Card Classifier

Model Description

This is a resnet34 model fine-tuned with fastai to classify real and fake Pokemon cards (dataset).

Here is a colab notebook that shows how the model was trained and pushed to the hub: link.

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

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.

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Space using hugginglearners/pokemon-card-checker