class_docstr: Support huggingface text backbones.
  Refer to https://github.com/huggingface/transformers
class_docstr_tok: ["Support","huggingface","text","backbones",".","Refer","to","https",":","\/\/github.com\/huggingface\/transformers"]
code: def text_token_ids_key(self):
      return f"{self.prefix}_{TEXT_TOKEN_IDS}"
  
imports: import logging
  from typing import Dict, List, Optional, Tuple
  import torch
  from torch import nn
  from transformers import logging
  from transformers.models.t5 import T5PreTrainedModel
  from ..constants import AUTOMM, COLUMN, COLUMN_FEATURES, FEATURES, LABEL, LOGITS, MASKS, TEXT_SEGMENT_IDS, TEXT_TOKEN_IDS, TEXT_VALID_LENGTH
  from .utils import DummyLayer, assign_layer_ids, get_column_features, get_hf_config_and_model, get_pretrained_tokenizer, init_weights
label_desc: Use image node_id 2 for calling the HFAutoModelForTextPrediction obj's underlying member method code with example usage: obj.text_token_ids_key() and returns: self, str, TEXT_TOKEN_IDS