code: def ViT_huge_patch32_384(**kwargs):
      model = VisionTransformer(
          img_size=384,
          patch_size=32,
          embed_dim=1280,
          depth=32,
          num_heads=16,
          mlp_ratio=4,
          **kwargs,
      )
      return model
  
imports: import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn import Layer
  from paddle.nn import Linear
  from paddle.nn.initializer import Constant
  from paddle.nn.initializer import Normal
  from paddle.nn.initializer import TruncatedNormal
label_desc: Use image node_id 13 for calling a global function with example usage: ViT_huge_patch32_384() and returns: model