code: def google_albert_large():
      cfg = google_albert_base()
      cfg.defrost()
      cfg.MODEL.hidden_size = 4096
      cfg.MODEL.num_heads = 16
      cfg.MODEL.num_layers = 24
      cfg.MODEL.units = 1024
      cfg.freeze()
      return cfg
  
imports: import os
  from typing import Tuple
  import mxnet
  from mxnet import use_np
  from mxnet import np, npx
  from mxnet.gluon import HybridBlock, nn
  from .transformer import TransformerEncoderLayer
  from .base import BACKBONE_REGISTRY
  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 gen_self_attn_mask
  from ..layers import get_activation, PositionalEmbedding
  from ..op import select_vectors_by_position
  from ..data.tokenizers import SentencepieceTokenizer
label_desc: Use image node_id 2 for calling a global function with example usage: google_albert_large() and returns: cfg