class_docstr: Loader
      
code: def __init__(self, corpus, tokenizer):
      super().__init__()
      self.corpus = corpus
      self.tokenizer = tokenizer
      self.batch_size = 30
      self.num_workers = 8
  
imports: import logging
  from os.path import join
  import pytorch_lightning
  from pytorch_lightning.loggers import WandbLogger
  from torch.optim import AdamW
  import torch.nn
  import torch
  from torchmetrics import F1
  from torch.utils.data import DataLoader, Dataset
  from transformers import AutoTokenizer, AutoModel
label_desc: Use image node_id 1 to create a new TokenClassificationDataModule object from inherited base classes: pl with example: obj = TokenClassificationDataModule(corpus, tokenizer)