Image Feature Extraction pipeline (#28216)

* Draft pipeline

* Fixup

* Fix docstrings

* Update doctest

* Update pipeline_model_mapping

* Update docstring

* Update tests

* Update src/transformers/pipelines/image_feature_extraction.py

Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>

* Fix docstrings - review comments

* Remove pipeline mapping for composite vision models

* Add to pipeline tests

* Remove for flava (multimodal)

* safe pil import

* Add requirements for pipeline run

* Account for super slow efficientnet

* Review comments

* Fix tests

* Swap order of kwargs

* Use build_pipeline_init_args

* Add back FE pipeline for Vilt

* Include image_processor_kwargs in docstring

* Mark test as flaky

* Update TODO

* Update tests/pipelines/test_pipelines_image_feature_extraction.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add license header

---------

Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

tests/models/mgp_str/test_modeling_mgp_str.py

@@ -31,7 +31,7 @@ if is_torch_available():
     import torch
     from torch import nn
 
-    from transformers import MgpstrForSceneTextRecognition
+    from transformers import MgpstrForSceneTextRecognition, MgpstrModel
 
 
 if is_vision_available():
@@ -118,7 +118,11 @@ class MgpstrModelTester:
 @require_torch
 class MgpstrModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
     all_model_classes = (MgpstrForSceneTextRecognition,) if is_torch_available() else ()
-    pipeline_model_mapping = {"feature-extraction": MgpstrForSceneTextRecognition} if is_torch_available() else {}
+    pipeline_model_mapping = (
+        {"feature-extraction": MgpstrForSceneTextRecognition, "image-feature-extraction": MgpstrModel}
+        if is_torch_available()
+        else {}
+    )
     fx_compatible = False
 
     test_pruning = False