class_docstr: A model that accepts strings and returns a single representation (embedding) for each one of them.
code: def splitting_kind(
      self,
  ) -> Literal["token", "subtoken", "bpe", "char"]:
      return self._splitting_kind
  
imports: from typing_extensions import Final, Literal
  import logging
  import math
  import numpy
  import torch
  import torch.nn
  from dpu_utils.codeutils import split_identifier_into_parts
  from dpu_utils.mlutils import BpeVocabulary, CharTensorizer, Vocabulary
  from typing import Any, Counter, Dict, List, NamedTuple, Optional, Union
  from ptgnn.baseneuralmodel import AbstractNeuralModel
  from ptgnn.neuralmodels.gnn.structs import AbstractNodeEmbedder
label_desc: Use image node_id 3 for calling the StrElementRepresentationModel obj's underlying member method code with example usage: obj.splitting_kind() and returns: self