class_docstr: Base class for text encoders.
  Translates raw texts into structured token arrays
class_docstr_tok: ["Base","class","for","text","encoders",".","Translates","raw","texts","into","structured","token","arrays"]
docstr: Convert a batch of ids [batch_size, id] into text(ish).
docstr_tok: ["Convert","a","batch","of","ids","[","batch_size",",","id","]","into","text","(","ish",")","."]
code: def decode(self, ids):
      """
      Convert a batch of ids [batch_size, id] into text(ish).
      """
  
      raise NotImplementedError
  
imports: import warnings
  import functools
  from collections import namedtuple, Counter, OrderedDict
  import spacy
  import numpy
label_desc: Use image node_id 6 for calling the BaseEncoder obj's underlying member method code with example usage: obj.decode(ids) without return types