class_docstr: Pytorch Hub interface for generating sequences from a pre-trained
  multichannel language model.
class_docstr_tok: ["Pytorch","Hub","interface","for","generating","sequences","from","a","pre-trained","multichannel","language","model","."]
code: def string(self, tokens: torch.LongTensor, channel: str) -> str:
      return self.tgt_dicts[channel].string(tokens)
  
file_path: fairseq/fairseq/models/speech_dlm/hub_interface.py
imports: import copy
  import logging
  from typing import Any, Dict, Iterator, List
  import torch
  from fairseq import utils
  from omegaconf import open_dict
  from torch import nn
  from tqdm import tqdm
  from fairseq.hub_utils import GeneratorHubInterface
label_desc: Use image node_id 8 for calling the MultichannelGeneratorHubInterface obj's underlying member method code with example usage: obj.string(tokens, channel) and returns: self