code: def mobilenet_v2(
      *,
      weights: Optional[MobileNet_V2_Weights] = None,
      progress: bool = True,
      **kwargs: Any,
  ) -> MobileNetV2:
      """MobileNetV2 architecture from the `MobileNetV2: Inverted Residuals and Linear
      Bottlenecks <https://arxiv.org/abs/1801.04381>`_ paper.
  
      Args:
          weights (:class:`~torchvision.models.MobileNet_V2_Weights`, optional): The
              pretrained weights to use. See
              :class:`~torchvision.models.MobileNet_V2_Weights` below for
              more details, and possible values. By default, no pre-trained
              weights are used.
          progress (bool, optional): If True, displays a progress bar of the
              download to stderr. Default is True.
          **kwargs: parameters passed to the ``torchvision.models.mobilenetv2.MobileNetV2``
              base class. Please refer to the `source code
              <https://github.com/pytorch/vision/blob/main/torchvision/models/mobilenetv2.py>`_
              for more details about this class.
  
      .. autoclass:: torchvision.models.MobileNet_V2_Weights
          :members:
      """
      weights = MobileNet_V2_Weights.verify(weights)
  
      if weights is not None:
          _ovewrite_named_param(
              kwargs, "num_classes", len(weights.meta["categories"])
          )
  
      model = MobileNetV2(**kwargs)
  
      if weights is not None:
          model.load_state_dict(
              weights.get_state_dict(progress=progress, check_hash=True)
          )
  
      return model
  
imports: from functools import partial
  from typing import Any, Callable, List, Optional
  import torch
  from torch import nn, Tensor
  from ..ops.misc import Conv2dNormActivation
  from ..transforms._presets import ImageClassification
  from ..utils import _log_api_usage_once
  from ._api import register_model, Weights, WeightsEnum
  from ._meta import _IMAGENET_CATEGORIES
  from ._utils import _make_divisible, _ovewrite_named_param, handle_legacy_interface
label_desc: Use image node_id 1 for calling a global function with example usage: mobilenet_v2() and returns: model