code: def vit_b_16(
      *,
      weights: Optional[ViT_B_16_Weights] = None,
      progress: bool = True,
      **kwargs: Any,
  ) -> VisionTransformer:
      """
      Constructs a vit_b_16 architecture from
      `An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale <https://arxiv.org/abs/2010.11929>`_.
  
      Args:
          weights (:class:`~torchvision.models.ViT_B_16_Weights`, optional): The pretrained
              weights to use. See :class:`~torchvision.models.ViT_B_16_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.vision_transformer.VisionTransformer``
              base class. Please refer to the `source code
              <https://github.com/pytorch/vision/blob/main/torchvision/models/vision_transformer.py>`_
              for more details about this class.
  
      .. autoclass:: torchvision.models.ViT_B_16_Weights
          :members:
      """
      weights = ViT_B_16_Weights.verify(weights)
  
      return _vision_transformer(
          patch_size=16,
          num_layers=12,
          num_heads=12,
          hidden_dim=768,
          mlp_dim=3072,
          weights=weights,
          progress=progress,
          **kwargs,
      )
  
imports: import math
  from collections import OrderedDict
  from functools import partial
  from typing import Any, Callable, Dict, List, NamedTuple, Optional
  import torch
  import torch.nn
  from ..ops.misc import Conv2dNormActivation, MLP
  from ..transforms._presets import ImageClassification, InterpolationMode
  from ..utils import _log_api_usage_once
  from ._api import register_model, Weights, WeightsEnum
  from ._meta import _IMAGENET_CATEGORIES
  from ._utils import _ovewrite_named_param, handle_legacy_interface
label_desc: Use image node_id 2 for calling a global function with example usage: vit_b_16() and returns: _vision_transformer