class_docstr: Abstract class to postprocess the raw output of the model
  
  Args:
  ----
      vocab: string containing the ordered sequence of supported characters
code: def __init__(
      self,
      vocab: str,
  ) -> None:
      super().__init__(vocab)
      self._embedding = list(vocab) + ["<eos>"] + ["<sos>"] + ["<pad>"]
  
file_path: doctr/doctr/models/recognition/master/base.py
imports: from typing import List, Tuple
  import numpy
  from ....datasets import encode_sequences
  from ..core import RecognitionPostProcessor
label_desc: Use image node_id 1 to create a new _MASTERPostProcessor object from inherited base classes: RecognitionPostProcessor with example: obj = _MASTERPostProcessor(vocab)