code: def test_tc_eval():
      happy = HappyTextClassification(
          model_type="DISTILBERT",
          model_name="distilbert-base-uncased-finetuned-sst-2-english",
      )
      results = happy.eval("../data/tc/train-eval.csv")
      assert results.loss == approx(0.007262040860950947, 0.01)
  
file_path: happy-transformer/tests/test_tc.py
imports: from happytransformer import HappyTextClassification, TCTrainArgs, TCEvalArgs, TCTestArgs
  from tests.run_save_load import run_save_load
  from pytest import approx
  import pytest
  from tests import happy_tc, happy_tc_3
label_desc: Use image node_id 3 for calling a global function with example usage: test_tc_eval() without return types