code: def test_layoutlmv3_without_image_embeddings_fails(self):
      sentence = Sentence(["I", "love", "Berlin"])
      sentence[0].add_metadata("bbox", BoundingBox(0, 0, 10, 10))
      sentence[1].add_metadata("bbox", (12, 0, 22, 10))
      sentence[2].add_metadata("bbox", (0, 12, 10, 22))
      emb = TransformerWordEmbeddings(
          "microsoft/layoutlmv3-base",
          layers="-1,-2,-3,-4",
          layer_mean=True,
      )
      emb.eval()
      with pytest.raises(ValueError):
          emb.embed(sentence)
  
imports: import importlib.util
  import warnings
  import pytest
  import torch
  from PIL import Image
  from transformers.utils import is_detectron2_available
  from flair.data import BoundingBox, Dictionary, Sentence
  from flair.embeddings import TransformerJitWordEmbeddings, TransformerWordEmbeddings
  from flair.models import SequenceTagger
  from tests.embedding_test_utils import BaseEmbeddingsTest
label_desc: Use image node_id 9 for calling the TestTransformerWordEmbeddings obj's underlying member method code with example usage: obj.test_layoutlmv3_without_image_embeddings_fails() without return types