code: def decode(self, seq):
      if isinstance(seq, torch.Tensor):
          seq = seq.cpu().numpy()
      txt = self.tokenizer.decode(
          seq, skip_special_tokens=False
      ).replace(" ", "")
      txt = txt.replace("[SPACE]", " ")
      txt = txt.replace("[STOP]", "")
      txt = txt.replace("[UNK]", "")
      return txt
  
file_path: TTS/TTS/tts/layers/tortoise/tokenizer.py
imports: import os
  import torch
  from tokenizers import Tokenizer
  from TTS.tts.utils.text.cleaners import english_cleaners
label_desc: Use image node_id 4 for calling the VoiceBpeTokenizer obj's underlying member method code with example usage: obj.decode(seq) and returns: txt