class_docstr: Bidirectional LSTM running over word embeddings.
class_docstr_tok: ["Bidirectional","LSTM","running","over","word","embeddings","."]
code: def get_word_embedding_dimension(self) -> int:
      return self.embeddings_dimension
  
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 3 for calling the LSTM obj's underlying member method code with example usage: obj.get_word_embedding_dimension() and returns: self