code: def __len__(self):
      return len(self._input_texts) // self._bs
  
file_path: nebuly/optimization/nebullvm/nebullvm/operations/conversions/huggingface.py
imports: from typing import List, Dict, Sequence, Optional
  import numpy
  from nebullvm.core.models import Device
  from nebullvm.optional_modules.tensorflow import tensorflow
  from nebullvm.optional_modules.torch import torch
  from nebullvm.optional_modules.huggingface import PreTrainedTokenizer, PreTrainedModel
  from nebullvm.tools.huggingface import get_output_structure_from_dict, get_output_structure_from_text, PyTorchTransformerWrapper, TensorFlowTransformerWrapper
  from nebullvm.tools.utils import is_dict_type
label_desc: Use image node_id 3 for calling the _HFTextDataset obj's underlying member method code with example usage: obj.__len__() and returns: unknown