Moving pipeline tests from Narsil to hf-internal-testing. (#14463)
* Moving everything to `hf-internal-testing`. * Fixing test values. * Moving to other repo. * Last touch?
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@@ -582,14 +582,14 @@ class TokenClassificationPipelineTests(unittest.TestCase, metaclass=PipelineTest
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@require_tf
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def test_tf_only(self):
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model_name = "Narsil/small" # This model only has a TensorFlow version
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model_name = "hf-internal-testing/tiny-random-bert-tf-only" # This model only has a TensorFlow version
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# We test that if we don't specificy framework='tf', it gets detected automatically
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token_classifier = pipeline(task="ner", model=model_name)
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self.assertEqual(token_classifier.framework, "tf")
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@require_tf
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def test_small_model_tf(self):
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model_name = "Narsil/small2"
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model_name = "hf-internal-testing/tiny-bert-for-token-classification"
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token_classifier = pipeline(task="token-classification", model=model_name, framework="tf")
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outputs = token_classifier("This is a test !")
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self.assertEqual(
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@@ -602,8 +602,8 @@ class TokenClassificationPipelineTests(unittest.TestCase, metaclass=PipelineTest
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@require_torch
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def test_no_offset_tokenizer(self):
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model_name = "Narsil/small2"
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tokenizer = AutoTokenizer.from_pretrained("Narsil/small2", use_fast=False)
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model_name = "hf-internal-testing/tiny-bert-for-token-classification"
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tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False)
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token_classifier = pipeline(task="token-classification", model=model_name, tokenizer=tokenizer, framework="pt")
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outputs = token_classifier("This is a test !")
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self.assertEqual(
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@@ -616,7 +616,7 @@ class TokenClassificationPipelineTests(unittest.TestCase, metaclass=PipelineTest
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@require_torch
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def test_small_model_pt(self):
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model_name = "Narsil/small2"
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model_name = "hf-internal-testing/tiny-bert-for-token-classification"
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token_classifier = pipeline(task="token-classification", model=model_name, framework="pt")
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outputs = token_classifier("This is a test !")
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self.assertEqual(
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