code: def _download_model(self, model_name):
      model = create_model(
          model_name,
          in_chans=3,
          scriptable=False,
          num_classes=None,
          drop_rate=0.0,
          drop_path_rate=None,
          drop_block_rate=None,
          pretrained=True,
      )
      return model
  
imports: import importlib
  import logging
  import os
  import re
  import subprocess
  import sys
  import warnings
  import torch
  from common import BenchmarkRunner, download_retry_decorator, main
  from torch._dynamo.testing import collect_results, reduce_to_scalar_loss
  from torch._dynamo.utils import clone_inputs
label_desc: Use image node_id 5 for calling the TimmRunner obj's underlying member method code with example usage: obj._download_model(model_name) and returns: model