def METHOD_NAME(pretrained=False, **kwargs):
    '''Densenet-201 model from
    `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`_
    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
    '''
    model = DenseNet(num_init_features=64, growth_rate=32, block_config=(6, 12, 48, 32), **kwargs)
    if pretrained: model.load("jittorhub://densenet201.pkl")
    return model