code: def get_model(name):
      if name in models.__dict__:
          fn = models.__dict__[name]
      else:
          raise RuntimeError(f"Unknown model name {name}")
  
      return fn(num_classes=10)
  
imports: import os
  from pathlib import Path
  from torchvision import datasets, models
  from torchvision.transforms import Compose, Normalize, Pad, RandomCrop, RandomHorizontalFlip, ToTensor
label_desc: Use image node_id 2 for calling a global function with example usage: get_model(name) and returns: fn