def vgg13(pretrained=False, **kwargs):
if pretrained:<EOL><INDENT>kwargs['<STR_LIT>'] = False<EOL><DEDENT>model = VGG(make_layers(cfg['<STR_LIT:B>']), **kwargs)<EOL>if pretrained:<EOL><INDENT>model.load_state_dict(model_zoo.load_url(model_urls['<STR_LIT>']))<EOL><DEDENT>return model<EOL>
VGG 13-layer model (configuration "B")

    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet