code: def model():
      return nn.Sequential(
          VisionTransformer(image_size=32),
          ClassificationHead(num_classes=10),
      )
  
imports: import sys
  import pytest
  import torch
  from torch import nn
  from torch.utils.data import Dataset
  from kornia.contrib import ClassificationHead, VisionTransformer
  from kornia.x import Configuration, ImageClassifierTrainer
  from kornia.x.trainer import Accelerator
label_desc: Use image node_id 1 for calling a global function with example usage: model() and returns: nn