code: def metaformer_ppff_s12_224(pretrained=False, **kwargs):
      layers = [2, 2, 6, 2]
      embed_dims = [64, 128, 320, 512]
      token_mixers = [
          Pooling,
          Pooling,
          partial(SpatialFc, spatial_shape=[14, 14]),
          partial(SpatialFc, spatial_shape=[7, 7]),
      ]
      mlp_ratios = [4, 4, 4, 4]
      downsamples = [True, True, True, True]
      model = MetaFormer(
          layers,
          embed_dims=embed_dims,
          token_mixers=token_mixers,
          mlp_ratios=mlp_ratios,
          norm_layer=GroupNorm,
          downsamples=downsamples,
          **kwargs,
      )
      model.default_cfg = _cfg()
      if pretrained:
          url = model_urls["metaformer_ppff_s12_224"]
          checkpoint = torch.hub.load_state_dict_from_url(
              url=url, map_location="cpu", check_hash=True
          )
          model.load_state_dict(checkpoint)
      return model
  
imports: from torch import nn
  import torch
  from functools import partial
  from towhee.models.utils.weight_init import trunc_normal_
  from towhee.models.poolformer.groupnorm import GroupNorm
  from towhee.models.poolformer.layernormchannel import LayerNormChannel
  from towhee.models.poolformer.pooling import Pooling
  from towhee.models.metaformer.basicblocks import basic_blocks
  from towhee.models.poolformer.patchembed import PatchEmbed
  from towhee.models.metaformer.addpositionembed import AddPositionEmb
  from towhee.models.metaformer.attention import Attention
  from towhee.models.metaformer.spatialfc import SpatialFc
label_desc: Use image node_id 6 for calling a global function with example usage: metaformer_ppff_s12_224(pretrained) and returns: model