class_docstr: Builds and/or loads a dictionary.
  
  All code is TorchScriptable.
class_docstr_tok: ["Builds","and\/or","loads","a","dictionary",".","All","code","is","TorchScriptable","."]
docstr: Tokenize using Gpt2 BPE tokenizer.
docstr_tok: ["Tokenize","using","Gpt2","BPE","tokenizer","."]
code: def gpt2_tokenize(self, text: str):
      """
      Tokenize using Gpt2 BPE tokenizer.
      """
      return self.gpt2_bpe.encode(text)
  
imports: from typing import Dict, List, Tuple
  import torch.jit
label_desc: Use image node_id 4 for calling the ScriptableDictionaryAgent obj's underlying member method code with example usage: obj.gpt2_tokenize(text) and returns: self