code: def _create_model_output(loss, logits, base_outputs):
      return MaskedLMOutput(
          loss=loss,
          logits=logits,
          hidden_states=base_outputs.hidden_states,
          attentions=base_outputs.attentions,
      )
  
imports: import torch
  import torch.nn
  from transformers.modeling_outputs import CausalLMOutput, CausalLMOutputWithPast, MaskedLMOutput, Seq2SeqLMOutput
  from ..methods.modeling import Activation_Function_Class
  from .base import PredictionHead
label_desc: Use image node_id 2 for calling the BertStyleMaskedLMHead obj's underlying member method code with example usage: obj._create_model_output(loss, logits, base_outputs) and returns: MaskedLMOutput