class_docstr: Abstract class to postprocess the raw output of the model
  
  Args:
  ----
      vocab: string containing the ordered sequence of supported characters
class_docstr_tok: ["Abstract","class","to","postprocess","the","raw","output","of","the","model","Args",":","--","--","vocab",":","string","containing","the","ordered","sequence","of","supported","characters"]
code: def extra_repr(self) -> str:
      return f"vocab_size={len(self.vocab)}"
  
file_path: doctr/doctr/models/recognition/core.py
imports: from typing import List, Tuple
  import numpy
  from doctr.datasets import encode_sequences
  from doctr.utils.repr import NestedObject
label_desc: Use image node_id 2 for calling the RecognitionPostProcessor obj's underlying member method code with example usage: obj.extra_repr() and returns: str, len