class_docstr: Uses the CLIP transformer encoder for text (from huggingface)
class_docstr_tok: ["Uses","the","CLIP","transformer","encoder","for","text","(","from","huggingface",")"]
code: def encode(self, text):
      return self(text)
  
imports: import torch
  import torch.nn
  import kornia
  from torch.utils.checkpoint import checkpoint
  from transformers import T5Tokenizer, T5EncoderModel, CLIPTokenizer, CLIPTextModel
  import open_clip
  from ldm.util import default, count_params, autocast
  from ldm.modules.diffusionmodules.upscaling import ImageConcatWithNoiseAugmentation
  from ldm.modules.diffusionmodules.openaimodel import Timestep
label_desc: Use image node_id 4 for calling the FrozenCLIPEmbedder obj's underlying member method code with example usage: obj.encode(text) and returns: self