def sqnxt23v5_w2(**kwargs):
return get_squeezenext(version="<STR_LIT>", width_scale=<NUM_LIT>, model_name="<STR_LIT>", **kwargs)<EOL>
0.5-SqNxt-23v5 model from 'SqueezeNext: Hardware-Aware Neural Network Design,' https://arxiv.org/abs/1803.10615.

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