Supporting ImageProcessor in place of FeatureExtractor for pipelines (#20851)
* 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>
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@@ -30,7 +30,7 @@ class ZeroShotClassificationPipelineTests(unittest.TestCase, metaclass=PipelineT
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model_mapping = MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING
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tf_model_mapping = TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING
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def get_test_pipeline(self, model, tokenizer, feature_extractor):
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def get_test_pipeline(self, model, tokenizer, feature_extractor, image_processor):
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classifier = ZeroShotClassificationPipeline(
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model=model, tokenizer=tokenizer, candidate_labels=["polics", "health"]
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)
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