code: def inverse_transform(
      self,  # type: ignore[override]
      labels: Union[List[int], np.ndarray],
      *,
      lengths: List[int] = None,
      threshold: float = 0.5,
      **kwargs: Any,
  ) -> Union[List[List[str]], List[str]]:
      if self.multi_label:
          return self.multi_label_binarizer.inverse_transform(
              labels, threshold=threshold
          )
      else:
          return [self.idx2vocab[i] for i in labels]
  
file_path: Kashgari/kashgari/processors/class_processor.py
imports: import collections
  import operator
  from typing import List, Union, Dict, Optional, Any, Tuple
  import numpy
  import tqdm
  from kashgari.generators import CorpusGenerator
  from kashgari.processors.abc_processor import ABCProcessor
  from kashgari.types import TextSamplesVar
label_desc: Use image node_id 6 for calling the ClassificationProcessor obj's underlying member method code with example usage: obj.inverse_transform(labels) and returns: self, unknown