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Supporting ImageProcessor in place of FeatureExtractor for pipelines (#20851)

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* Fixing the pipeline with image processor.

* Update the slow test.

* Using only the first image processor.

* Include exclusion mecanism for Image processor.

* Do not handle Gitconfig, deemed as a bug.

* Apply suggestions from code review

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Remove `conversational` changes. They are not supposed to be here.

* Address first row of comments.

* Remove OneFormer modifications.

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
This commit is contained in:
Nicolas Patry
2023-01-25 10:16:31 +01:00
committed by GitHub
parent efdbad56ab
commit 99e7905422
28 changed files with 138 additions and 47 deletions
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tests/pipelines/test_pipelines_text_classification.py
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@@ -129,7 +129,7 @@ class TextClassificationPipelineTests(unittest.TestCase, metaclass=PipelineTestC
outputs = text_classifier("Birds are a type of animal")
self.assertEqual(nested_simplify(outputs), [{"label": "POSITIVE", "score": 0.988}])
def get_test_pipeline(self, model, tokenizer, feature_extractor):
def get_test_pipeline(self, model, tokenizer, feature_extractor, image_processor):
text_classifier = TextClassificationPipeline(model=model, tokenizer=tokenizer)
return text_classifier, ["HuggingFace is in", "This is another test"]