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Specify TF framework explicitly in more pipeline tests (#19748) 

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar 2022-10-19 16:24:03 +02:00 committed by GitHub
parent c206fc8779
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2 changed files with 2 additions and 2 deletions
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2
tests/pipelines/test_pipelines_image_classification.py
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@ -140,7 +140,7 @@ class ImageClassificationPipelineTests(unittest.TestCase, metaclass=PipelineTest
@require_tf
def test_small_model_tf(self):
small_model = "hf-internal-testing/tiny-random-vit"
image_classifier = pipeline("image-classification", model=small_model)
image_classifier = pipeline("image-classification", model=small_model, framework="tf")
outputs = image_classifier("http://images.cocodataset.org/val2017/000000039769.jpg")
self.assertEqual(

2
tests/pipelines/test_pipelines_image_to_text.py
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@ -154,7 +154,7 @@ class ImageToTextPipelineTests(unittest.TestCase, metaclass=PipelineTestCaseMeta
@slow
@require_tf
def test_large_model_tf(self):
pipe = pipeline("image-to-text", model="ydshieh/vit-gpt2-coco-en")
pipe = pipeline("image-to-text", model="ydshieh/vit-gpt2-coco-en", framework="tf")
image = "./tests/fixtures/tests_samples/COCO/000000039769.png"
outputs = pipe(image)