code: def test_roberta_jax_jit(self):
      for model_name in ["roberta-base", "roberta-large"]:
          tokenizer = AutoTokenizer.from_pretrained(model_name)
          model = FlaxRobertaModel.from_pretrained(model_name)
          tokens = tokenizer(
              "Do you support jax jitted function?",
              return_tensors=TensorType.JAX,
          )
  
          @jax.jit
          def eval(**kwargs):
              return model(**kwargs)
  
          eval(**tokens).block_until_ready()
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/tests/models/auto/test_modeling_flax_auto.py
imports: import unittest
  from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
  from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow
label_desc: Use image node_id 4 for calling the FlaxAutoModelTest obj's underlying member method code with example usage: obj.test_roberta_jax_jit() and returns: model