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# MNIST High Accuracy
Image Multi Class Classification
Apache-2.0
This model is an image classification model fine-tuned on the MNIST dataset based on the Swin Transformer architecture, achieving an accuracy of 98.33%
Image Classification
Transformers
TransformersI
autoevaluate
69
1
Resnet Tiny Mnist
Gpl-3.0
A small ResNet model for MNIST handwritten digit recognition, achieving an accuracy of 0.985 on the validation set.
Image Classification Transformers
TransformersR
fxmarty
1,181
5
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