class_docstr: A model that accepts strings and returns a single representation (embedding) for each one of them.
code: def initialize_minibatch(self) -> Dict[str, Any]:
      return {"token_idxs": []}
  
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 10 for calling the StrElementRepresentationModel obj's underlying member method code with example usage: obj.initialize_minibatch() and returns: dict