code: def __init__(self, *args: Any, **kwargs: Any):
      super().__init__(*args, **kwargs)
      # Create the SST-2 Model
      model_path = "https://storage.googleapis.com/what-if-tool-resources/lit-models/sst2_tiny.tar.gz"  # pylint: disable=line-too-long
      if model_path.endswith(".tar.gz"):
          model_path = file_cache.cached_path(
              model_path, extract_compressed_file=True
          )
      self.sst2_model = glue_models.SST2Model(model_path)
  
file_path: lit/lit_nlp/examples/models/glue_models_int_test.py
imports: from typing import Any
  from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.examples.models import glue_models
  from lit_nlp.lib import file_cache
label_desc: Use image node_id 1 to create a new GlueModelsIntTest object from inherited base classes: parameterized with example: obj = GlueModelsIntTest()