code: def test_fine_tunable_flair_embedding(self):
      language_model_forward = LanguageModel(
          Dictionary.load("chars"),
          is_forward_lm=True,
          hidden_size=32,
          nlayers=1,
      )
  
      embeddings: DocumentRNNEmbeddings = DocumentRNNEmbeddings(
          [FlairEmbeddings(language_model_forward, fine_tune=True)],
          hidden_size=128,
          bidirectional=False,
      )
  
      sentence: Sentence = Sentence("I love Berlin.")
  
      embeddings.embed(sentence)
  
      assert len(sentence.get_embedding()) == 128
      assert (
          len(sentence.get_embedding()) == embeddings.embedding_length
      )
  
      sentence.clear_embeddings()
  
      assert len(sentence.get_embedding()) == 0
  
      embeddings: DocumentLMEmbeddings = DocumentLMEmbeddings(
          [FlairEmbeddings(language_model_forward, fine_tune=True)]
      )
  
      sentence: Sentence = Sentence("I love Berlin.")
  
      embeddings.embed(sentence)
  
      assert len(sentence.get_embedding()) == 32
      assert (
          len(sentence.get_embedding()) == embeddings.embedding_length
      )
  
      sentence.clear_embeddings()
  
      assert len(sentence.get_embedding()) == 0
      del embeddings
  
imports: from flair.data import Dictionary, Sentence
  from flair.embeddings import DocumentLMEmbeddings, DocumentRNNEmbeddings, FlairEmbeddings
  from flair.models import LanguageModel
  from tests.embedding_test_utils import BaseEmbeddingsTest
label_desc: Use image node_id 1 for calling the TestFlairEmbeddings obj's underlying member method code with example usage: obj.test_fine_tunable_flair_embedding() without return types