code: def get_kinetics_head(
      dim_in: int = 1024, num_classes: int = 400
  ) -> nn.Module:
      head = nn.Linear(
          in_features=dim_in, out_features=num_classes, bias=True
      )
      return nn.Sequential(nn.Dropout(p=0.5), head)
  
imports: from towhee.models.video_swin_transformer.video_swin_transformer import VideoSwinTransformer
  from typing import Any, Optional, Union
  import torch
  from torch import nn
  from torch.hub import load_state_dict_from_url
label_desc: Use image node_id 4 for calling a global function with example usage: get_kinetics_head(dim_in, num_classes) and returns: nn