# ImageNet-21k pretrained

A Vision Transformer (ViT) based image classification model, pretrained on ImageNet-21k by Google Research using JAX framework and later ported to PyTorch. Suitable for feature extraction and fine-tuning scenarios.

This Vision Transformer (ViT) model is pretrained on the ImageNet-21k dataset at 224x224 resolution, suitable for image classification tasks.

A Vision Transformer model pretrained on the ImageNet-21k dataset, suitable for image feature extraction and downstream task fine-tuning.