class_docstr: Loader that extracts text from images
code: def load_model(self):
      try:
          from transformers import (
              AutoProcessor,
              Pix2StructForConditionalGeneration,
          )
      except ImportError:
          raise ValueError(
              "`transformers` package not found, please install with "
              "`pip install transformers`."
          )
      if self._pix2struct_model:
          self._pix2struct_model = self._pix2struct_model.to(
              self.device
          )
          return self
      self.set_context()
      self._pix2struct_processor = AutoProcessor.from_pretrained(
          self._model_type
      )
      self._pix2struct_model = (
          Pix2StructForConditionalGeneration.from_pretrained(
              self._model_type
          ).to(self.device)
      )
      return self
  
file_path: h2ogpt/src/image_pix2struct.py
imports: from typing import List, Union, Any, Tuple
  from langchain.docstore.document import Document
  from langchain.document_loaders import ImageCaptionLoader
  from utils import get_device, clear_torch_cache
  from PIL import Image
label_desc: Use image node_id 3 for calling the H2OPix2StructLoader obj's underlying member method code with example usage: obj.load_model() and returns: self, self