code: def test_transformer_subword_token_mapping(self):
      sentence = Sentence("El pasto es verde.")
      embeddings = TransformerWordEmbeddings(
          "PlanTL-GOB-ES/roberta-base-biomedical-es", layers="-1"
      )
      embeddings.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 14 for calling the TestTransformerWordEmbeddings obj's underlying member method code with example usage: obj.test_transformer_subword_token_mapping() without return types