docstr: Decodes given list of tokens to text sequence.
  
  Args:
      tokens (List[int]): list of tokens to decode.
  
  Returns:
      str:
          Decoded text sequence.
docstr_tok: ["Decodes","given","list","of","tokens","to","text","sequence",".","Args",":","tokens","(","List","[","int","]",")",":","list","of","tokens","to","decode",".","Returns",":","str",":","Decoded","text","sequence","."]
code: def __call__(self, tokens: List[int], **kwargs) -> str:
      """Decodes given list of tokens to text sequence.
  
      Args:
          tokens (List[int]): list of tokens to decode.
  
      Returns:
          str:
              Decoded text sequence.
      """
  
imports: import json
  import math
  from abc import ABC, abstractmethod
  from dataclasses import dataclass
  from functools import partial
  from typing import Callable, List, Tuple
  import torch
  import torchaudio
  from torchaudio._internal import module_utils
  from torchaudio.models import emformer_rnnt_base, RNNT, RNNTBeamSearch
label_desc: Use image node_id 1 for calling the _TokenProcessor obj's underlying member method code with example usage: obj.__call__(tokens) without return types