# ImageNet-21k pre-trained

Large-scale image feature extraction model based on Vision Transformer (ViT) architecture, pre-trained on ImageNet-21k dataset

Swin Transformer v2 is a vision Transformer model that achieves efficient image classification and dense recognition tasks through hierarchical feature maps and local window self-attention mechanisms.

This Vision Transformer (ViT) model is pre-trained on the ImageNet-21k dataset and is suitable for image classification tasks.