code: def text_embedder_hidden_size(self):
      return 32
  
imports: import gc
  import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
  from diffusers import Transformer2DModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
  from diffusers.pipelines.vq_diffusion.pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings
  from diffusers.utils.testing_utils import load_numpy, nightly, require_torch_gpu, torch_device
label_desc: Use image node_id 4 for calling the VQDiffusionPipelineFastTests obj's underlying member method code with example usage: obj.text_embedder_hidden_size() and returns: int