text: import torchvision.models as vision_models
  import torch
  from torchvision import transforms
  
  
  def load_model():
      model = vision_models.mobilenet_v2(pretrained=True)
      model.eval()
  
      model = {
          "model": model,
          "preprocessing": transforms.Compose([
              transforms.Resize(256),
              transforms.CenterCrop(224),
              transforms.ToTensor(),
              transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
          ]),
          "postprocessing": lambda x: torch.nn.functional.softmax(x, dim=0),
          "mapping": None,
          "input_type": "image"
      }
  
      return model
  