code: def __init__(self, hidden):
      super().__init__()
      self.base_model = model_class.from_pretrained(pretrained_weights)
      self.linear = nn.Linear(H, H)
      self.bilinear = nn.Linear(H, H)
      self.root = nn.Parameter(torch.rand(H))
      self.dropout = nn.Dropout(config["dropout"])
  
file_path: pytorch-struct/examples/bert-dep.py
imports: import torchtext
  import torch
  from torch import nn
  from torch_struct import DependencyCRF
  from torch_struct.data import SubTokenizedField, ConllXDataset, TokenBucket
  from torchtext.data import RawField, BucketIterator
  from pytorch_transformers import BertModel, BertTokenizer, AdamW, WarmupLinearSchedule
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: nn with example: obj = Model(hidden)