class_docstr: A modified wrapper for a public python BPE tokenizer. The modifications allow encoding directly into the formats
  required for finetune. Particularly with respect to formatting with multiple inputs.
class_docstr_tok: ["A","modified","wrapper","for","a","public","python","BPE","tokenizer",".","The","modifications","allow","encoding","directly","into","the","formats","required","for","finetune",".","Particularly","with","respect","to","formatting","with","multiple","inputs","."]
code: def _token_length(self, token):
      return len(token.strip().replace("##", ""))
  
imports: import os
  import numpy
  import finetune
  from finetune.encoding.input_encoder import EncodedOutput, BaseEncoder
  from finetune.base_models.bert.tokenizer import FullTokenizer
label_desc: Use image node_id 3 for calling the BERTEncoder obj's underlying member method code with example usage: obj._token_length(token) and returns: len