code: def has_embedding(self, sentence):
      return all(
          token.get_embedding().cpu().numpy().size != 0
          for token in sentence
      )
  
file_path: flair/tests/models/test_relation_extractor.py
imports: import pytest
  from flair.data import Sentence
  from flair.datasets import ColumnCorpus
  from flair.embeddings import TransformerWordEmbeddings
  from flair.models import RelationExtractor
  from tests.model_test_utils import BaseModelTest
label_desc: Use image node_id 6 for calling the TestRelationExtractor obj's underlying member method code with example usage: obj.has_embedding(sentence) and returns: all