class_docstr: CNN-layer with multiple kernel-sizes over the word embeddings
class_docstr_tok: ["CNN-layer","with","multiple","kernel-sizes","over","the","word","embeddings"]
code: def tokenize(self, text: str) -> List[int]:
      raise NotImplementedError()
  
file_path: sentence-transformers/sentence_transformers/models/CNN.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 CNN obj's underlying member method code with example usage: obj.tokenize(text) without return types