code: def _create_twins(variant, pretrained=False, **kwargs):
      if kwargs.get("features_only", None):
          raise RuntimeError(
              "features_only not implemented for Vision Transformer models."
          )
  
      model = build_model_with_cfg(Twins, variant, pretrained, **kwargs)
      return model
  
imports: import math
  from functools import partial
  from typing import Tuple
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import Mlp, DropPath, to_2tuple, trunc_normal_, use_fused_attn
  from ._builder import build_model_with_cfg
  from ._features_fx import register_notrace_module
  from ._registry import register_model, generate_default_cfgs
  from .vision_transformer import Attention
label_desc: Use image node_id 1 for calling a global function with example usage: _create_twins(variant, pretrained) and returns: model