code: def test_predict_wo_training(dataset_text_classification):
      trainer = ArgillaTrainer(
          name=dataset_text_classification,
          framework=FRAMEWORK,
          model="tkuye/tiny-bert-jdc",
      )
      trainer._trainer.predict("This is a text")
  
file_path: argilla/tests/integration/training/test_transformers.py
imports: from argilla.client.models import TextClassificationRecord, TokenClassificationRecord
  from argilla.training import ArgillaTrainer
  from .helpers import train_with_cleanup
label_desc: Use image node_id 5 for calling a global function with example usage: test_predict_wo_training(dataset_text_classification) without return types