Skip failing cache call tests (#27393)
* Skip failing cache call tests * Fixup
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@@ -482,6 +482,9 @@ class AutoModelTest(unittest.TestCase):
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with self.assertRaisesRegex(EnvironmentError, "Use `from_flax=True` to load this model"):
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with self.assertRaisesRegex(EnvironmentError, "Use `from_flax=True` to load this model"):
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_ = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-flax-only")
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_ = AutoModel.from_pretrained("hf-internal-testing/tiny-bert-flax-only")
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@unittest.skip(
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"Currently failing with new huggingface_hub release. See: https://github.com/huggingface/transformers/pull/27389"
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)
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def test_cached_model_has_minimum_calls_to_head(self):
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def test_cached_model_has_minimum_calls_to_head(self):
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# Make sure we have cached the model.
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# Make sure we have cached the model.
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_ = AutoModel.from_pretrained("hf-internal-testing/tiny-random-bert")
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_ = AutoModel.from_pretrained("hf-internal-testing/tiny-random-bert")
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@@ -419,6 +419,9 @@ class AutoTokenizerTest(unittest.TestCase):
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):
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):
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_ = AutoTokenizer.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER, revision="aaaaaa")
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_ = AutoTokenizer.from_pretrained(DUMMY_UNKNOWN_IDENTIFIER, revision="aaaaaa")
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@unittest.skip(
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"Currently failing with new huggingface_hub release. See: https://github.com/huggingface/transformers/pull/27389"
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)
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def test_cached_tokenizer_has_minimum_calls_to_head(self):
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def test_cached_tokenizer_has_minimum_calls_to_head(self):
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# Make sure we have cached the tokenizer.
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# Make sure we have cached the tokenizer.
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_ = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert")
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_ = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert")
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