code: def embeddings(self):
      turian_embeddings = WordEmbeddings("turian")
      document_embeddings = DocumentRNNEmbeddings(
          [turian_embeddings], 128, 1, False, 64, False, False
      )
      return document_embeddings
  
file_path: flair/tests/models/test_text_classifier.py
imports: import pytest
  import flair.datasets
  from flair.data import Sentence
  from flair.embeddings import DocumentRNNEmbeddings, FlairEmbeddings, WordEmbeddings
  from flair.models import TextClassifier
  from flair.samplers import ImbalancedClassificationDatasetSampler
  from flair.trainers import ModelTrainer
  from tests.model_test_utils import BaseModelTest
label_desc: Use image node_id 1 for calling the TestTextClassifier obj's underlying member method code with example usage: obj.embeddings() and returns: document_embeddings