code: def ViT_large_patch32_384(**kwargs):
      model = VisionTransformer(
          img_size=384,
          patch_size=32,
          embed_dim=1024,
          depth=24,
          num_heads=16,
          mlp_ratio=4,
          qkv_bias=True,
          epsilon=1e-6,
          **kwargs,
      )
      return model
  
imports: import os
  import math
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils, logger
  from paddleseg.models.backbones.transformer_utils import to_2tuple, DropPath, Identity
label_desc: Use image node_id 7 for calling a global function with example usage: ViT_large_patch32_384() and returns: model