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_sequence_tagger.py
imports: import pytest
  import flair
  from flair.embeddings import FlairEmbeddings, WordEmbeddings
  from flair.models import SequenceTagger
  from flair.trainers import ModelTrainer
  from tests.model_test_utils import BaseModelTest
label_desc: Use image node_id 1 for calling the TestSequenceTagger obj's underlying member method code with example usage: obj.has_embedding(sentence) and returns: all