# Swin Fine-tuning
Pokemon Image Classifier
MIT
This is a Pokemon image classification model based on the Swin Transformer architecture, capable of recognizing different Pokemon in the selection interface.
Image Classification
Transformers

P
fufufukakaka
18
0
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

I
autoevaluate
69
1
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