code: def build_embedding(cls, args, dictionary, embed_dim, path=None):
      embed_tokens = Embedding(
          len(dictionary), embed_dim, dictionary.pad()
      )
      return embed_tokens
  
imports: from dataclasses import dataclass, field
  from typing import Optional
  from omegaconf import II
  from fairseq import options, utils
  from fairseq.dataclass import ChoiceEnum, FairseqDataclass
  from fairseq.models import FairseqLanguageModel, register_model, register_model_architecture
  from fairseq.models.transformer import DEFAULT_MIN_PARAMS_TO_WRAP, Embedding, TransformerDecoder
  from fairseq.modules import AdaptiveInput, CharacterTokenEmbedder
  from fairseq.utils import safe_getattr, safe_hasattr
label_desc: Use image node_id 4 for calling the TransformerLanguageModel obj's underlying member method code with example usage: obj.build_embedding(cls, args, dictionary, embed_dim, path) and returns: embed_tokens