code: def swin_large_patch4_window12_384_in22k(
      num_classes: int = 21841, **kwargs
  ):
      model = SwinTransformer(
          in_chans=3,
          patch_size=4,
          window_size=12,
          embed_dim=192,
          depths=(2, 2, 18, 2),
          num_heads=(6, 12, 24, 48),
          num_classes=num_classes,
          name="swin_large_patch4_window12",
          **kwargs,
      )
      return model
  
imports: import tensorflow
  from tensorflow.keras import Model, layers, initializers
  import numpy
label_desc: Use image node_id 10 for calling a global function with example usage: swin_large_patch4_window12_384_in22k(num_classes) and returns: model