code: def resnext101_64x4d(pretrained="imagenet"):
      """Pretrained ResNeXt101_64x4d model"""
      model = ResNeXt101_64x4d(num_classes=1000)
      if pretrained:
          settings = pretrained_settings["resnext101_64x4d"][pretrained]
          model.load_state_dict(model_zoo.load_url(settings["url"]))
          model.input_space = settings["input_space"]
          model.input_size = settings["input_size"]
          model.input_range = settings["input_range"]
          model.mean = settings["mean"]
          model.std = settings["std"]
      return model
  
imports: import torch.nn
  import torch.utils.model_zoo
  from .resnext_features import resnext50_32x4d_features
  from .resnext_features import resnext101_32x4d_features
  from .resnext_features import resnext101_64x4d_features
label_desc: Use image node_id 3 for calling a global function with example usage: resnext101_64x4d(pretrained) and returns: model