Add Visual Question Answering (VQA) pipeline (#17286)

* wip

* rebase

* all tests pass

* rebase

* ready for PR

* address comments

* fix styles

* add require_torch to pipeline test

* remove remote image to improve CI consistency

* address comments; fix tf/flax tests

* address comments; fix tf/flax tests

* fix tests; add alias

* repo consistency tests

* Update src/transformers/pipelines/visual_question_answering.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* address comments

* Update src/transformers/pipelines/visual_question_answering.py

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* merge

* Update src/transformers/models/auto/modeling_auto.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* merge

Co-authored-by: Sijun He <sijunhe@Sijuns-MacBook-Pro.local>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

docs/source/en/main_classes/pipelines.mdx

@@ -38,6 +38,7 @@ There are two categories of pipeline abstractions to be aware about:
   - [`Text2TextGenerationPipeline`]
   - [`TokenClassificationPipeline`]
   - [`TranslationPipeline`]
+  - [`VisualQuestionAnsweringPipeline`]
   - [`ZeroShotClassificationPipeline`]
   - [`ZeroShotImageClassificationPipeline`]
 
@@ -423,6 +424,12 @@ See [`TokenClassificationPipeline`] for all details.
     - __call__
     - all
 
+### VisualQuestionAnsweringPipeline
+
+[[autodoc]] VisualQuestionAnsweringPipeline
+    - __call__
+    - all
+
 ### ZeroShotClassificationPipeline
 
 [[autodoc]] ZeroShotClassificationPipeline

docs/source/en/model_doc/auto.mdx

@@ -122,6 +122,10 @@ Likewise, if your `NewModel` is a subclass of [`PreTrainedModel`], make sure its
 
 [[autodoc]] AutoModelForVision2Seq
 
+## AutoModelForVisualQuestionAnswering
+
+[[autodoc]] AutoModelForVisualQuestionAnswering
+
 ## AutoModelForAudioClassification
 
 [[autodoc]] AutoModelForAudioClassification