* Remove max_new_tokens arg
* Add ASR pipeline to testing
* make fixup
* Factor the output test out into a util
* Full error reporting
* Full error reporting
* Update src/transformers/pipelines/automatic_speech_recognition.py
Co-authored-by: Lysandre Debut <hi@lysand.re>
* Small comment
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Co-authored-by: Lysandre Debut <hi@lysand.re>
* Make audio classification pipeline spec-compliant and add test
* Check that test actually running in CI
* Try a different pipeline for the CI
* Move the test so it gets triggered
* Move it again, this time into task_tests!
* make fixup
* indentation fix
* comment
* Move everything from testing_utils to test_pipeline_mixin
* Add output testing too
* revert small diff with main
* make fixup
* Clarify comment
* Update tests/pipelines/test_pipelines_audio_classification.py
Co-authored-by: Lucain <lucainp@gmail.com>
* Update tests/test_pipeline_mixin.py
Co-authored-by: Lucain <lucainp@gmail.com>
* Rename function and js_args -> hub_args
* Cleanup the spec recursion
* Check keys for all outputs
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Co-authored-by: Lucain <lucainp@gmail.com>
* cast image features to model.dtype where needed to support FP16 or other precision in pipelines
* Update src/transformers/pipelines/image_feature_extraction.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Use .to instead
* Add FP16 pipeline support for zeroshot audio classification
* Remove unused torch imports
* Add docs on FP16 pipeline
* Remove unused import
* Add FP16 tests to pipeline mixin
* Add fp16 placeholder for mask_generation pipeline test
* Add FP16 tests for all pipelines
* Fix formatting
* Remove torch_dtype arg from is_pipeline_test_to_skip*
* Fix format
* trigger ci
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Pass datasets trust_remote_code
* Pass trust_remote_code in more tests
* Add trust_remote_dataset_code arg to some tests
* Revert "Temporarily pin datasets upper version to fix CI"
This reverts commit b7672826ca.
* Pass trust_remote_code in librispeech_asr_dummy docstrings
* Revert "Pin datasets<2.20.0 for examples"
This reverts commit 833fc17a3e.
* Pass trust_remote_code to all examples
* Revert "Add trust_remote_dataset_code arg to some tests" to research_projects
* Pass trust_remote_code to tests
* Pass trust_remote_code to docstrings
* Fix flax examples tests requirements
* Pass trust_remote_dataset_code arg to tests
* Replace trust_remote_dataset_code with trust_remote_code in one example
* Fix duplicate trust_remote_code
* Replace args.trust_remote_dataset_code with args.trust_remote_code
* Replace trust_remote_dataset_code with trust_remote_code in parser
* Replace trust_remote_dataset_code with trust_remote_code in dataclasses
* Replace trust_remote_dataset_code with trust_remote_code arg
* Allow dict input for audio classification pipeline
* make style
* Empty commit to trigger CI
* Empty commit to trigger CI
* check for torchaudio
* add pip instructions
Co-authored-by: Sylvain <sylvain.gugger@gmail.com>
* Update src/transformers/pipelines/audio_classification.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
* asr -> audio class
* asr -> audio class
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Co-authored-by: Sylvain <sylvain.gugger@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
* Mark pipeline tests to skip them easily
* Mark the mixin as pipeline test
* Update src/transformers/testing_utils.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
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Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* 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>
* Rework pipeline tests
* Try to fix Flax tests
* Try to put it before
* Use a new decorator instead
* Remove ignore marker since it doesn't work
* Filter pipeline tests
* Woopsie
* Use the fitlered list
* Clean up and fake modif
* Remove init
* Revert fake modif
