# CIFAR10 Adaptation
Swin Tiny Patch4 Window7 224 Finetuned Eurosat
Apache-2.0
An image classification model based on the Swin Transformer Tiny architecture, fine-tuned on the CIFAR10 dataset with an accuracy of 97.24%
Image Classification
Transformers

S
eric1993
16
0
Swin Tiny Patch4 Window7 224 Finetuned Eurosat
Apache-2.0
Image classification model fine-tuned on the CIFAR10 dataset based on Swin Transformer Tiny architecture
Image Classification
Transformers

S
gneuert
18
0
Vit Base Patch16 224 In21k Finetuned Cifar10
Apache-2.0
This is a vision Transformer model based on Google's ViT base model, fine-tuned on the CIFAR10 dataset for image classification tasks.
Image Classification
Transformers

V
nielsr
31
2
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