code: def vgg11(num_classes=1000, pretrained='imagenet'):
      
      model = models.vgg11(pretrained=False)
      if pretrained is not None:
          settings = pretrained_settings['vgg11'][pretrained]
          model = load_pretrained(model, num_classes, settings)
      model = modify_vggs(model)
      return model
docs: VGG 11-layer model (configuration "A")