class_docstr: Bidirectional LSTM running over word embeddings.
class_docstr_tok: ["Bidirectional","LSTM","running","over","word","embeddings","."]
code: def get_config_dict(self):
      return {key: self.__dict__[key] for key in self.config_keys}
  
file_path: sentence-transformers/sentence_transformers/models/LSTM.py
imports: import torch
  from torch import nn
  from typing import List
  import os
  import json
label_desc: Use image node_id 6 for calling the LSTM obj's underlying member method code with example usage: obj.get_config_dict() and returns: unknown