# Image classification fine-tuning
Convnextv2 Pico.fcmae
ConvNeXt-V2 self-supervised feature representation model, pre-trained using the Fully Convolutional Masked Autoencoder (FCMAE) framework, suitable for image classification and feature extraction tasks.
Image Classification
Transformers

C
timm
82
0
Convnextv2 Huge.fcmae
A self-supervised feature representation model based on ConvNeXt-V2, pre-trained using the Fully Convolutional Masked Autoencoder (FCMAE) framework, suitable for image classification and feature extraction tasks.
Image Classification
Transformers

C
timm
52
0
Convnextv2 Femto.fcmae
A self-supervised feature representation model based on ConvNeXt-V2, pre-trained using the Fully Convolutional Masked Autoencoder (FCMAE) framework.
Image Classification
Transformers

C
timm
166
0
Vit Base Patch16 224 In21k Ft Cifar10test
Apache-2.0
A visual classification model fine-tuned on the CIFAR-10 test set based on the Google Vision Transformer (ViT) model
Image Classification
Transformers

V
minhhoque
29
0
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