# ImageNet-21k Pretrained

An image classification model based on Vision Transformer, pretrained on ImageNet-21k, suitable for feature extraction and fine-tuning

An image classification model based on Vision Transformer (ViT) architecture, pretrained on the ImageNet-21k dataset, suitable for feature extraction and fine-tuning scenarios.

Swin Transformer is a hierarchical window-based vision Transformer model pretrained on the ImageNet-21k dataset, suitable for image classification tasks.

Swin Transformer is a hierarchical vision Transformer based on shifted windows, specifically designed for image classification tasks.

Swin Transformer is a hierarchical window-based vision Transformer model, pretrained on the ImageNet-21k dataset, suitable for image classification tasks.

Swin Transformer is a hierarchical vision transformer based on shifted windows, pretrained on the ImageNet-21k dataset, suitable for image classification tasks.