code: def has_embedding(self, sentence):
      for token in sentence:
          if token.get_embedding().cpu().numpy().size == 0:
              return False
      return None
  
file_path: flair/tests/models/test_word_tagger.py
imports: import pytest
  import flair
  from flair.embeddings import TransformerWordEmbeddings
  from flair.models import TokenClassifier
  from tests.model_test_utils import BaseModelTest
label_desc: Use image node_id 1 for calling the TestWordTagger obj's underlying member method code with example usage: obj.has_embedding(sentence) and returns: None, False