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---
title: ERA S12
emoji: 🌖
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 3.39.0
app_file: app.py
pinned: false
license: mit
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-> We trained CIFAR10 dataset using Custom ResNet model by using pytorch lightning.
-> requirements.txt file contains necessary packages to install.
-> custom_resnet.py file contains model architecture.
-> model_pth.ckpt contains trained model checkpoints (weights).
-> 10 example images like cat_1.jpg, cat_2.jpg,..
--> app.py contains gradio code. By using gradio here implemented by selecting input images or examples output display the gradcam image and prediction and top k classes. I tried with multiple gradcam and misclassified i am getting errors.
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