code: def test_stacked_embeddings():
      glove: TokenEmbeddings = WordEmbeddings("turian")
      flair_embedding: TokenEmbeddings = FlairEmbeddings(
          "news-forward-fast"
      )
      embeddings: StackedEmbeddings = StackedEmbeddings(
          [glove, flair_embedding]
      )
  
      sentence: Sentence = Sentence(
          "I love Berlin. Berlin is a great place to live."
      )
      embeddings.embed(sentence)
  
      for token in sentence.tokens:
          assert len(token.get_embedding()) == 1074
  
          token.clear_embeddings()
  
          assert len(token.get_embedding()) == 0
      del embeddings
  
imports: from flair.data import Sentence
  from flair.embeddings import FlairEmbeddings, StackedEmbeddings, TokenEmbeddings, WordEmbeddings
  from flair.embeddings.base import load_embeddings
label_desc: Use image node_id 1 for calling a global function with example usage: test_stacked_embeddings() without return types