class_docstr: Head for sentence-level classification tasks.
class_docstr_tok: ["Head","for","sentence-level","classification","tasks","."]
code: def forward(self, features, **kwargs):
      x = features
      x = self.dropout(x)
      x = self.dense(x)
      x = self.activation_fn(x)
      x = self.dropout(x)
      x = self.out_proj(x)
      return x
  
imports: import logging
  from typing import Optional
  import torch
  import torch.nn
  from fairseq import utils
  from fairseq.models import register_model, register_model_architecture
  from fairseq.models.transformer import TransformerModel
  from fairseq.modules.transformer_sentence_encoder import init_bert_params
  from .hub_interface import BARTHubInterface
label_desc: Use image node_id 2 for calling the BARTClassificationHead obj's underlying member method code with example usage: obj.forward(features) and returns: x