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High accuracy on MNIST
# High accuracy on MNIST
Image Multi Class Classification Not Evaluated
Apache-2.0
This is an image classification model fine-tuned on the MNIST dataset based on the Swin-Tiny architecture, with an accuracy of 98.33%.
Image Classification
Transformers
I
autoevaluate
11
0
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