code: def dummy_tokenizer(self):
      tokenizer = CLIPTokenizer.from_pretrained(
          "hf-internal-testing/tiny-random-clip"
      )
      return tokenizer
  
imports: import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
  from diffusers import DDPMWuerstchenScheduler, WuerstchenCombinedPipeline
  from diffusers.pipelines.wuerstchen import PaellaVQModel, WuerstchenDiffNeXt, WuerstchenPrior
  from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the WuerstchenCombinedPipelineFastTests obj's underlying member method code with example usage: obj.dummy_tokenizer() and returns: tokenizer