code: def __init__(self, dataset_splits: DatasetSplits):
      super().__init__()
      self.words = dataset_splits.vectorizer.data_vocab._token2id.keys()
  
file_path: transfer-nlp/transfer_nlp/embeddings/embeddings.py
imports: import logging
  from pathlib import Path
  from typing import Dict, Tuple, Union
  import numpy
  import torch
  from smart_open import open
  from transfer_nlp.loaders.loaders import DatasetSplits
  from transfer_nlp.plugins.config import register_plugin
  from transfer_nlp.plugins.helpers import ObjectHyperParams
label_desc: Use image node_id 1 to create a new EmbeddingsHyperParams object from inherited base classes: ObjectHyperParams with example: obj = EmbeddingsHyperParams(dataset_splits)