code: def get_model(name, **kwargs):
      """Returns a pre-defined model by name
  
      Parameters
      ----------
      name : str
          Name of the model.
      pretrained : bool or str
          Boolean value controls whether to load the default pretrained weights for model.
          String value represents the hashtag for a certain version of pretrained weights.
      classes : int
          Number of classes for the output layer.
      ctx : Context, default CPU
          The context in which to load the pretrained weights.
      root : str, default '~/.mxnet/models'
          Location for keeping the model parameters.
  
      Returns
      -------
      HybridBlock
          The model.
      """
      name = name.lower()
      if name not in _models:
          err_str = (
              '"%s" is not among the following model list:\n\t' % (name)
          )
          err_str += "%s" % ("\n\t".join(sorted(_models.keys())))
          raise ValueError(err_str)
      net = _models[name](**kwargs)
      return net
  
imports: from .alexnet import *
  from .cifarresnet import *
  from .cifarresnext import *
  from .cifarwideresnet import *
  from .deeplabv3 import *
  from .deeplabv3b_plus import *
  from .densenet import *
  from .dla import *
  from .rcnn.faster_rcnn import *
  from .fcn import *
  from .googlenet import *
  from .inception import *
  from .rcnn.mask_rcnn import *
  from .mobilenet import *
  from .mobilenetv3 import *
  from .nasnet import *
  from .pruned_resnet.resnetv1b_pruned import *
  from .pspnet import *
  from .quantized import *
  from .residual_attentionnet import *
  from .resnet import *
  from .resnest import *
  from .resnetv1b import *
  from .resnext import *
  from .shufflenet import *
  from .senet import *
  from .simple_pose.simple_pose_resnet import *
  from .simple_pose.mobile_pose import *
  from .squeezenet import *
  from .ssd import *
  from .vgg import *
  from .xception import *
  from .yolo import *
  from .alpha_pose import *
  from .action_recognition import *
  from .center_net import *
  from .hrnet import *
  from .siamrpn import *
  from .icnet import *
  from .fastscnn import *
  from .danet import *
  from .monodepthv2 import *
label_desc: Use image node_id 1 for calling a global function with example usage: get_model(name) and returns: net