docstr: Parameters
  ----------
  cfg
  use_pooler
      Whether to use pooler
  dtype
      The dtype of the backbone model
  
  Returns
  -------
  model
      The created AlbertModel
docstr_tok: ["Parameters","--","--","--","--","--","cfg","use_pooler","Whether","to","use","pooler","dtype","The","dtype","of","the","backbone","model","Returns","--","--","--","-","model","The","created","AlbertModel"]
code: def from_cfg(cls, cfg, use_pooler=True, dtype=None) -> "AlbertModel":
      """
  
      Parameters
      ----------
      cfg
      use_pooler
          Whether to use pooler
      dtype
          The dtype of the backbone model
  
      Returns
      -------
      model
          The created AlbertModel
      """
      cfg = cls.get_cfg().clone_merge(cfg)
      assert cfg.VERSION == 1, "Wrong version!"
      embed_initializer = mx.init.create(*cfg.INITIALIZER.embed)
      weight_initializer = mx.init.create(*cfg.INITIALIZER.weight)
      bias_initializer = mx.init.create(*cfg.INITIALIZER.bias)
      if dtype is None:
          dtype = cfg.MODEL.dtype
      return cls(
          vocab_size=cfg.MODEL.vocab_size,
          units=cfg.MODEL.units,
          hidden_size=cfg.MODEL.hidden_size,
          embed_size=cfg.MODEL.embed_size,
          num_layers=cfg.MODEL.num_layers,
          num_heads=cfg.MODEL.num_heads,
          num_groups=cfg.MODEL.num_groups,
          max_length=cfg.MODEL.max_length,
          hidden_dropout_prob=cfg.MODEL.hidden_dropout_prob,
          attention_dropout_prob=cfg.MODEL.attention_dropout_prob,
          num_token_types=cfg.MODEL.num_token_types,
          pos_embed_type=cfg.MODEL.pos_embed_type,
          activation=cfg.MODEL.activation,
          layer_norm_eps=cfg.MODEL.layer_norm_eps,
          dtype=dtype,
          layout=cfg.MODEL.layout,
          embed_initializer=embed_initializer,
          weight_initializer=weight_initializer,
          bias_initializer=bias_initializer,
          use_pooler=use_pooler,
      )
  
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 7 for calling the AlbertModel obj's underlying member method code with example usage: obj.from_cfg(cls, cfg, use_pooler, dtype) and returns: cls