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Image Feature Extraction pipeline (#28216)

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* 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>
This commit is contained in:
amyeroberts
2024-02-05 14:50:07 +00:00
committed by GitHub
parent 7addc9346c
commit ba3264b4e8
60 changed files with 387 additions and 53 deletions
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2
tests/models/table_transformer/test_modeling_table_transformer.py
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@@ -200,7 +200,7 @@ class TableTransformerModelTest(ModelTesterMixin, GenerationTesterMixin, Pipelin
else ()
)
pipeline_model_mapping = (
{"feature-extraction": TableTransformerModel, "object-detection": TableTransformerForObjectDetection}
{"image-feature-extraction": TableTransformerModel, "object-detection": TableTransformerForObjectDetection}
if is_torch_available()
else {}
)