code: def get_model_head(model: nn.Module):
      """
      Return the model's head. Different models may have different head names.
  
      Parameters
      ----------
      model
          A Pytorch model.
  
      Returns
      -------
      The model's head.
      """
      if hasattr(model, "head"):
          head = model.head  # move the head outside
      elif hasattr(model, "last_linear"):
          head = model.last_linear
      elif hasattr(model, "fc"):
          head = model.fc
      elif hasattr(model, "classifier"):
          head = model.classifier
      else:
          raise ValueError(
              f"Model {type(model)} doesn't have head. Need to check its implementation."
          )
  
      return head.fc if hasattr(head, "fc") else head
  
imports: import logging
  import re
  import warnings
  from typing import Dict, List, Optional, Tuple
  import torch
  import torch._dynamo
  import torch.nn.functional
  from torch import nn
  from torch.nn.modules.loss import _Loss
  from transformers import AutoConfig, AutoModel, AutoTokenizer, BertTokenizer, CLIPTokenizer, ElectraTokenizer
  from transformers.models.mask2former.modeling_mask2former import Mask2FormerLoss
  from ..constants import AUTOMM, CLASS_LOGITS, COLUMN_FEATURES, FEATURES, LOGITS, MASKS, OCR, PEFT_ADDITIVE_STRATEGIES, REGRESSION, SEMANTIC_MASK, SEMANTIC_SEGMENTATION
  from .adaptation_layers import IA3Linear, IA3LoRALinear, LoRALinear
label_desc: Use image node_id 11 for calling a global function with example usage: get_model_head(model) and returns: unknown