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pokemon-card-checker
mindwrapped/pokemon-card-checker
pokemon-card-checker is a machine learning model from mindwrapped. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for fastai. The card lists the license as cc0-1.0.
This is a resnet34 model fine-tuned with fastai to classify real and fake Pokemon cards (dataset).
Access
Public
Updated Jun 20, 2022
Repo size
87.5 MB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.pkl87.5 MB · 100%
At a glance
- Library
- fastai
- License
- cc0-1.0
- Access
- Public
- Created
- Jun 16, 2022
- Updated
- Jun 20, 2022
- SHA
- 2753a771
Model card
From the Hugging Face model README
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.
- Library
- fastai
- License
- cc0-1.0
- Created
- Jun 16, 2022
- Updated
- Jun 20, 2022