class_docstr: Token embeddings are weighted mean of their different hidden layer representations
class_docstr_tok: ["Token","embeddings","are","weighted","mean","of","their","different","hidden","layer","representations"]
code: def get_word_embedding_dimension(self):
      return self.word_embedding_dimension
  
file_path: sentence-transformers/sentence_transformers/models/WeightedLayerPooling.py
imports: import torch
  from torch import Tensor
  from torch import nn
  from typing import Dict
  import os
  import json
label_desc: Use image node_id 3 for calling the WeightedLayerPooling obj's underlying member method code with example usage: obj.get_word_embedding_dimension() and returns: self