class_docstr: BareEmbedding is a random init `tf.keras.layers.Embedding` layer for text sequence embedding,
  which is the defualt embedding class for kashgari models.
code: def load_embed_vocab(self) -> Optional[Dict[str, int]]:
      return None
  
file_path: Kashgari/kashgari/embeddings/bare_embedding.py
imports: from typing import Dict, Any, Optional
  from tensorflow import keras
  from kashgari.embeddings.abc_embedding import ABCEmbedding
label_desc: Use image node_id 2 for calling the BareEmbedding obj's underlying member method code with example usage: obj.load_embed_vocab() and returns: None