code: def embeddings(self):
      return TransformerDocumentEmbeddings(
          model="distilbert-base-uncased", layers="-1", fine_tune=True
      )
  
imports: from operator import itemgetter
  from typing import Dict, List, Optional, Set, Tuple
  import pytest
  from torch.utils.data import Dataset
  from flair.data import Relation, Sentence
  from flair.datasets import ColumnCorpus, DataLoader
  from flair.embeddings import TransformerDocumentEmbeddings
  from flair.models import RelationClassifier
  from flair.models.relation_classifier_model import EncodedSentence, EncodingStrategy, EntityMarker, EntityMarkerPunct, EntityMask, TypedEntityMarker, TypedEntityMarkerPunct, TypedEntityMask
  from tests.model_test_utils import BaseModelTest
label_desc: Use image node_id 2 for calling the TestRelationClassifier obj's underlying member method code with example usage: obj.embeddings() and returns: TransformerDocumentEmbeddings