code: def mobilenet0_75(**kwargs):
      r"""MobileNet model from the
      `"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
      <https://arxiv.org/abs/1704.04861>`_ paper, with width multiplier 0.75.
  
      Parameters
      ----------
      pretrained : bool, default False
          Whether to load the pretrained weights for model.
      device : Device, default CPU
          The device in which to load the pretrained weights.
      """
      return get_mobilenet(0.75, **kwargs)
  
imports: import os
  from ...None import nn
  from ....device import cpu
  from ...block import HybridBlock
  from ....None import base, np
  from ....util import use_np, wrap_ctx_to_device_func
label_desc: Use image node_id 7 for calling a global function with example usage: mobilenet0_75() and returns: get_mobilenet