class_docstr: Args:
code: def head(
      self, features: torch.Tensor, input_type: Optional[str] = None
  ):
      head_in = self.heads
      if self.multimodal_model:
          assert input_type in self.types, "unsupported input type"
          head_in = head_in[input_type]
      return head_in(features)
  
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 2 for calling the OmnivoreModel obj's underlying member method code with example usage: obj.head(features, input_type) and returns: head_in