class_docstr: Head for sentence-level classification tasks.
code: def __init__(self, config):
      super().__init__()
      self.dense = nn.Linear(config.hidden_size * 2, config.hidden_size)
      self.out_proj = nn.Linear(config.hidden_size, 2)
  
imports: import torch
  import torch.nn
  import numpy
  from transformers import RobertaConfig, RobertaModel, RobertaTokenizer, BartConfig, BartForConditionalGeneration, BartTokenizer, T5Config, T5ForConditionalGeneration, T5Tokenizer
  import logging
label_desc: Use image node_id 1 to create a new RobertaClassificationHead object from inherited base classes: nn with example: obj = RobertaClassificationHead(config)