# CIFAR10 fine-tuning
Vitforimageclassification
Apache-2.0
This model is a fine-tuned image classification model based on google/vit-base-patch16-224-in21k on the CIFAR10 dataset, achieving an accuracy of 96.78%.
Image Classification
Transformers

V
Andron00e
43
2
Vit Finetuned Vanilla Cifar10 0
Apache-2.0
An image classification model fine-tuned on the CIFAR-10 dataset based on the Vision Transformer (ViT) architecture, achieving 99.2% accuracy
Image Classification
Transformers

V
02shanky
68
1
Swin Tiny Patch4 Window7 224 Cifar10
Apache-2.0
A tiny model based on Swin Transformer architecture, specifically fine-tuned for CIFAR-10 image classification tasks
Image Classification
Transformers

S
Skafu
94
1
Swin Base Patch4 Window7 224 In22k Finetuned Cifar10
Apache-2.0
This model is an image classification model based on the Swin Transformer architecture, achieving 98.9% accuracy after fine-tuning on the CIFAR-10 dataset.
Image Classification
Transformers

S
Weili
19
0
Vit Base Patch16 224 Finetuned Cifar10
Apache-2.0
This is an image classification model based on the Vision Transformer (ViT) architecture, fine-tuned on the CIFAR10 dataset, achieving 98.76% accuracy.
Image Classification
Transformers

V
Weili
15
0
Vit Base Patch16 224 In21k Finetuned Cifar10
Apache-2.0
A pre-trained model based on Google's Vision Transformer (ViT) architecture, fine-tuned on the CIFAR-10 dataset for image classification tasks.
Image Classification
Transformers

V
aaraki
16.69k
10
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