code: def swin_base_patch4_window7_224(num_classes: int = 1000, **kwargs):
      model = SwinTransformer(
          in_chans=3,
          patch_size=4,
          window_size=7,
          embed_dim=128,
          depths=(2, 2, 18, 2),
          num_heads=(4, 8, 16, 32),
          num_classes=num_classes,
          name="swin_base_patch4_window7",
          **kwargs,
      )
      return model
  
imports: import tensorflow
  from tensorflow.keras import Model, layers, initializers
  import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: swin_base_patch4_window7_224(num_classes) and returns: model