class_docstr: Base class for NLP augmentation
docstr: Args:
      cfg: config with all the hyperparameters
code: def __init__(self, cfg: Any):
      """
      Args:
          cfg: config with all the hyperparameters
      """
  
      super().__init__()
      self.cfg = cfg
  
file_path: h2o-llmstudio/llm_studio/src/augmentations/nlp_aug.py
imports: import logging
  from abc import abstractmethod
  from typing import Any, Dict
  import torch
  from torch import nn
label_desc: Use image node_id 1 to create a new BaseNLPAug object from inherited base classes: nn with example: obj = BaseNLPAug(cfg)