code: def test_text_prediction_v1_sts(fit_helper):
      pytest.skip("Temporary skip the unittest")
      fit_args = dict(
          hyperparameters={
              "AG_TEXT_NN": {
                  "optimization.max_epochs": 1,
                  "model.hf_text.checkpoint_name": "google/electra-small-discriminator",
              }
          },
      )
      dataset_name = "sts"
      fit_helper.fit_and_validate_dataset(
          dataset_name=dataset_name,
          fit_args=fit_args,
          sample_size=1000,
          refit_full=True,
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_text_prediction_v1_sts(fit_helper) without return types