class_docstr: generated `pooled_video` and `pooled_text`.
class_docstr_tok: ["generated","`","pooled_video","`","and","`","pooled_text","`","."]
code: def __init__(self, config):
      super().__init__(config)
      from transformers import AutoTokenizer
  
      self.tokenizer = AutoTokenizer.from_pretrained(
          config.dataset.bert_name
      )
  
imports: import os
  import random
  import json
  import numpy
  import torch
  import pickle
  import math
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new RetrievalPredictor object from inherited base classes: Predictor with example: obj = RetrievalPredictor(config)