| title | emoji | colorFrom | colorTo | sdk | pinned |
|---|---|---|---|---|---|
Mnist |
🐢 |
yellow |
purple |
docker |
false |
MNIST classifier from scratch
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Model: CNN
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Accuracy: 97%
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Training Notebook: mnist_classifier.ipynb
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Cleaned Python Inference Version: mnist_classifier.py (This file is auto-generated from mnist_classifier.ipynb. Please do not edit it.)
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Model: classifier.pth
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Try Online: https://carlfeynman-mnist.hf.space/
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If you want to host this on Hugging Face as a space, please refer to this documentation.
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To Run FastApi Server Locally: uvicorn server:app --reload
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Note: When you try it out on the website, accuracy may drop due to distribution changes from training data to canvas image input. It has not been adjusted or fine-tuned for this specific purpose; it's intended just to demonstrate the full flow.
