code: def test_generate_text_with_small_temperatures():
      from flair.embeddings import FlairEmbeddings
  
      language_model = FlairEmbeddings(
          "news-forward-fast", has_decoder=True
      ).lm
  
      text, likelihood = language_model.generate_text(
          temperature=0.01, number_of_characters=100
      )
      assert text is not None
      assert len(text) >= 100
      del language_model
  
file_path: flair/tests/test_language_model.py
imports: import pytest
  from flair.data import Dictionary, Sentence
  from flair.embeddings import FlairEmbeddings, TokenEmbeddings
  from flair.models import LanguageModel
  from flair.trainers.language_model_trainer import LanguageModelTrainer, TextCorpus
label_desc: Use image node_id 3 for calling a global function with example usage: test_generate_text_with_small_temperatures() without return types