* Add ZeroShotObjectDetectionPipeline (#18445) * Add AutoModelForZeroShotObjectDetection task This commit also adds the following - Add explicit _processor method for ZeroShotObjectDetectionPipeline. This is necessary as pipelines don't auto infer processors yet and `OwlVitProcessor` wraps tokenizer and feature_extractor together, to process multiple images at once - Add auto tests and other tests for ZeroShotObjectDetectionPipeline * Add AutoModelForZeroShotObjectDetection task This commit also adds the following - Add explicit _processor method for ZeroShotObjectDetectionPipeline. This is necessary as pipelines don't auto infer processors yet and `OwlVitProcessor` wraps tokenizer and feature_extractor together, to process multiple images at once - Add auto tests and other tests for ZeroShotObjectDetectionPipeline * Add batching for ZeroShotObjectDetectionPipeline * Fix doc-string ZeroShotObjectDetectionPipeline * Fix output format: ZeroShotObjectDetectionPipeline
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@@ -43,6 +43,7 @@ There are two categories of pipeline abstractions to be aware about:
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- [`VisualQuestionAnsweringPipeline`]
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- [`ZeroShotClassificationPipeline`]
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- [`ZeroShotImageClassificationPipeline`]
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- [`ZeroShotObjectDetectionPipeline`]
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## The pipeline abstraction
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@@ -456,6 +457,12 @@ See [`TokenClassificationPipeline`] for all details.
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- __call__
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- all
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### ZeroShotObjectDetectionPipeline
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[[autodoc]] ZeroShotObjectDetectionPipeline
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- __call__
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- all
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## Parent class: `Pipeline`
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[[autodoc]] Pipeline
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@@ -174,6 +174,10 @@ Likewise, if your `NewModel` is a subclass of [`PreTrainedModel`], make sure its
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[[autodoc]] AutoModelForInstanceSegmentation
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## AutoModelForZeroShotObjectDetection
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[[autodoc]] AutoModelForZeroShotObjectDetection
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## TFAutoModel
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[[autodoc]] TFAutoModel
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