code: def dummy_tokenizer(self):
      tokenizer = CLIPTokenizer.from_pretrained(
          "hf-internal-testing/tiny-random-clip"
      )
      return tokenizer
  
imports: import gc
  import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer
  from diffusers import HeunDiscreteScheduler, PriorTransformer, ShapEPipeline
  from diffusers.pipelines.shap_e import ShapERenderer
  from diffusers.utils.testing_utils import load_numpy, nightly, require_torch_gpu, torch_device
  from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
label_desc: Use image node_id 5 for calling the ShapEPipelineFastTests obj's underlying member method code with example usage: obj.dummy_tokenizer() and returns: tokenizer