class_docstr: Bidirectional LSTM running over word embeddings.
class_docstr_tok: ["Bidirectional","LSTM","running","over","word","embeddings","."]
code: def tokenize(self, text: str) -> List[int]:
      raise NotImplementedError()
  
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 4 for calling the LSTM obj's underlying member method code with example usage: obj.tokenize(text) without return types