code: def __init__(self, num_labels):
      super().__init__()
      self.hidden_size = 768
      self.num_labels = num_labels
      self.linear = nn.Linear(self.hidden_size, self.num_labels)
      self.train_loss = nn.CrossEntropyLoss()
      self.train_f1 = F1()
      self.validation_f1 = F1()
  
      self.transformer = AutoModel.from_pretrained(BERT_MODEL_NAME)
  
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 BertForTokenClassification object from inherited base classes: pl with example: obj = BertForTokenClassification(num_labels)