def preresnet101b(**kwargs):
return get_preresnet(blocks=<NUM_LIT>, conv1_stride=False, model_name="<STR_LIT>", **kwargs)<EOL>
PreResNet-101 model with stride at the second convolution in bottleneck block from 'Identity Mappings in Deep
Residual Networks,' https://arxiv.org/abs/1603.05027.

Parameters:
----------
pretrained : bool, default False
    Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
    Location for keeping the model parameters.