code: def build_vitl14_language_model():
      model = TextTransformer(
          context_length=77,
          vocab_size=49408,
          transformer_width=768,
          transformer_heads=12,
          transformer_layers=12,
      )
      return model
  
file_path: PaddleHub/modules/image/text_to_image/stable_diffusion/clip/clip/utils.py
imports: import os
  from typing import List
  from typing import Union
  import numpy
  import paddle
  from paddle.utils import download
  from paddle.vision.transforms import CenterCrop
  from paddle.vision.transforms import Compose
  from paddle.vision.transforms import Normalize
  from paddle.vision.transforms import Resize
  from paddle.vision.transforms import ToTensor
  from .model import CLIP
  from .model import TextTransformer
  from .simple_tokenizer import SimpleTokenizer
label_desc: Use image node_id 3 for calling a global function with example usage: build_vitl14_language_model() and returns: model