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[ci, flax] non-existing models are unlikely to pass tests (#10409)

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Julien Chaumond
2021-02-26 10:35:36 +01:00
committed by GitHub
parent 17b6e0d474
commit 83d2d55c94
1 changed files with 2 additions and 2 deletions
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tests/test_flax_auto.py
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@@ -41,7 +41,7 @@ class FlaxAutoModelTest(unittest.TestCase):
@slow @slow
def test_roberta_from_pretrained(self): def test_roberta_from_pretrained(self):
for model_name in ["roberta-base-cased", "roberta-large-uncased"]: for model_name in ["roberta-base", "roberta-large"]:
with self.subTest(model_name): with self.subTest(model_name):
config = AutoConfig.from_pretrained(model_name) config = AutoConfig.from_pretrained(model_name)
self.assertIsNotNone(config) self.assertIsNotNone(config)
@@ -66,7 +66,7 @@ class FlaxAutoModelTest(unittest.TestCase):
@slow @slow
def test_roberta_jax_jit(self): def test_roberta_jax_jit(self):
for model_name in ["roberta-base-cased", "roberta-large-uncased"]: for model_name in ["roberta-base", "roberta-large"]:
tokenizer = AutoTokenizer.from_pretrained(model_name) tokenizer = AutoTokenizer.from_pretrained(model_name)
model = FlaxRobertaModel.from_pretrained(model_name) model = FlaxRobertaModel.from_pretrained(model_name)
tokens = tokenizer("Do you support jax jitted function?", return_tensors=TensorType.JAX) tokens = tokenizer("Do you support jax jitted function?", return_tensors=TensorType.JAX)