class_docstr: Uses a pretrained BERT tokenizer by huggingface. Vocab size: 30522 (?)
class_docstr_tok: ["Uses","a","pretrained","BERT","tokenizer","by","huggingface",".","Vocab","size",":","30522","(","?",")"]
code: def decode(self, text):
      return text
  
imports: import torch
  import torch.nn
  from functools import partial
  import clip
  from einops import rearrange, repeat
  from transformers import CLIPTokenizer, CLIPTextModel
  import kornia
  from ldm.modules.x_transformer import Encoder, TransformerWrapper
label_desc: Use image node_id 4 for calling the BERTTokenizer obj's underlying member method code with example usage: obj.decode(text) and returns: text