code: def google_multi_cased_bert_base():
      cfg = google_en_uncased_bert_base()
      cfg.defrost()
      cfg.MODEL.vocab_size = 119547
      cfg.freeze()
      return cfg
  
imports: import os
  from typing import Tuple
  import mxnet
  from mxnet import use_np, np, npx
  from mxnet.gluon import HybridBlock, nn
  from .base import BACKBONE_REGISTRY
  from .transformer import TransformerEncoderLayer
  from ..base import get_model_zoo_home_dir, get_repo_model_zoo_url, get_model_zoo_checksum_dir
  from ..utils.config import CfgNode
  from ..utils.misc import load_checksum_stats, download
  from ..utils.registry import Registry
  from ..initializer import TruncNorm
  from ..attention_cell import MultiHeadAttentionCell, gen_self_attn_mask
  from ..layers import get_activation, PositionalEmbedding, PositionwiseFFN, InitializerType
  from ..op import select_vectors_by_position
  from ..data.tokenizers import HuggingFaceWordPieceTokenizer
label_desc: Use image node_id 6 for calling a global function with example usage: google_multi_cased_bert_base() and returns: cfg