code: def test_various_inputs(dataset_token_classification) -> None:
      trainer = ArgillaTrainer(
          name=dataset_token_classification,
          model=MODEL,
          framework=FRAMEWORK,
      )
      record = trainer.predict(
          "This is a text", as_argilla_records=True
      )
      assert isinstance(record, TokenClassificationRecord)
      not_record = trainer.predict(
          "This is a text", as_argilla_records=False
      )
      assert not isinstance(not_record, TokenClassificationRecord)
      record_list = trainer.predict(
          ["This is a text"], as_argilla_records=True
      )
      assert isinstance(record_list, list)
      assert len(record_list) == 1
      assert isinstance(record_list[0], TokenClassificationRecord)
      not_record_list = trainer.predict(
          ["This is a text"], as_argilla_records=False
      )
      assert isinstance(not_record_list, list)
      assert len(not_record_list) == 1
      assert not isinstance(
          not_record_list[0], TokenClassificationRecord
      )
  
file_path: argilla/tests/integration/training/test_span_marker.py
imports: from argilla.client.models import 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_various_inputs(dataset_token_classification) without return types