GitLab

* 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 b7672826.

* Pass trust_remote_code in librispeech_asr_dummy docstrings

* Revert "Pin datasets<2.20.0 for examples"

This reverts commit 833fc17a.

* 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

* Remove ConversationalPipeline and Conversation object, as they have been deprecated for some time and are due for removal

* Update not-doctested.txt

* Fix JA and ZH docs

* Fix JA and ZH docs some more

* Fix JA and ZH docs some more

* Add list check for image and question

* Handle passing two lists and update docstring

* Add tests

* Add support for dataset

* Add test for dataset as input

* fixup

* fix unprotected import

* fix unprotected import

* fix import again

* fix param type

* Fix pipeline tests - torch imports

* Frameowrk dependant float conversion

* fix logits dtype

* Add bf16/fp16 tests for text_classification pipeline

* Update test_pipelines_text_classification.py

* fix

* fix

* fiw input to generate in pipeline

* fixup

* pass input_features to generate with assistant

* error if model and assistant with different enc size

* fix

* apply review suggestions

* use self.config.is_encoder_decoder

* pass inputs to generate directly

* add slow tests

* Update src/transformers/generation/utils.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* apply review

* Update src/transformers/generation/utils.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* apply code review

* update attributes encoder_xyz to check

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add slow test

* solve conflicts

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* fix for custom pipeline configuration

* fix for custom pipelines

* remove extra exception

* added test for custom pipelines extra tag

* format with ruff

* limit extra tag for first time only

* format with ruff

* improve tests for custom pipelines

* check model.device

* fix

* style fix

* move model device

* remove print

* add comment

* fix

* add unit test

* optimize

* change test names and add more cases

* Update tests/pipelines/test_pipelines_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* force chunk_length_s in AutomaticSpeechRecognitionPipeline

* compute num_frames even when stride is None

* add slow tests

* fix test

* Update src/transformers/pipelines/automatic_speech_recognition.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add input validation

* fixup

* small fix

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* added chat templating support for keydataset in generation pipeline

* fixed and improved test

* fix formatting test failures

* Fix tests

* Fix tests

Use the Keras set_random_seed to ensure reproducible weight initialization

* fix

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add `push_to_hub` to pipeline

* fix docs

* format with ruff

* update save_pretrained

* update save_pretrained

* remove unnecessary comment

* switch to push_to_hub method in DynamicPipelineTester

* remove unused imports

* update docs for add_new_pipeline

* fix docs for add_new_pipeline

* add comment

* fix italien docs

* changes to token retrieval for pipelines

* Update src/transformers/pipelines/base.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* See if we can get tests to pass with the fixed weights

* See if we can get tests to pass with the fixed weights

* Replace the revisions now that we don't need them anymore

* Patch fix - don't use safetensors for TF models

* Skip test for TF for now

* Update for another test

* if output is tuple like facebook/hf-seamless-m4t-medium, waveform is the first element
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

* add test and fix batch issue
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

* add dict output support for seamless_m4t
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

---------
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

[tests] fix the wrong output in `ImageToTextPipelineTests.test_conditional_generation_llava` (#29975)

bug fix

* replace the 'decord' with 'av' in VideoClassificationPipeline

* fix the check of backend in VideoClassificationPipeline

* adjust the order of imports

* format 'video_classification.py'

* format 'video_classification.py' with ruff

---------
Co-authored-by: wanqiancheng <13541261013@163.com>

* Populate torch_dtype from model to pipeline
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* use property
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* lint
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* Remove default handling
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

---------
Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* fix image-to-text batch incorrect output issue
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* add ci test
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

* update ci test
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

---------
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

* use torch_device

* Update tests/pipelines/test_pipelines_text_generation.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix style

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

* use require_torch_gpu

* enable on XPU

* Add pool option

* PR comments - error message and exact outputs check

* Add chat support to text generation pipeline

* Better handling of single elements

* Deprecate ConversationalPipeline

* stash commit

* Add missing add_special_tokens kwarg

* Update chat templating docs to refer to TextGenerationPipeline instead of ConversationalPipeline

* Add ✨TF✨

 tests

* @require_tf

* Add type hint

* Add specific deprecation version

* Remove unnecessary do_sample

* Remove todo - the discrepancy has been resolved

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/pipelines/text_generation.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Script & Manual edition

* Update

* Fix pipeline

* Remove print statements

* Address comments

* Address issue

* Remove unused imports

* change warning to exception

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* validate `max_new_tokens` > 0 in `GenerationConfig`

* fix truncation test parameterization in `TextGenerationPipelineTests`

---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* 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>

* Correct wav2vec2-bert inputs_to_logits_ratio

* correct ratio

* correct ratio, clean asr pipeline

* refactor on one line

* up

* Fix more

* Correct more

* Fix more tests

* fix fast tests

* Fix more

* fix more

* push all files

* finish all

* make style

* Fix timestamp wrap

* make style

* make style

* up

* up

* up

* Fix lang detection behavior

* Fix lang detection behavior

* Add lang detection test

* Fix lang detection behavior

* make style

* Update src/transformers/models/whisper/generation_whisper.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* better error message

* make style tests

* add warning

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* finalize

* make fix copies whisper

* [Tests] Make sure that we don't run tests mulitple times

* Update src/transformers/models/whisper/modeling_whisper.py

* [Tests] Make sure that we don't run tests mulitple times

* fix more

* improve

* improve

* improve further

* improve more

* improve

* fix more

* git commit and git push

* fix more

* fix more

* fix more

* New try

* Fix more whisper stuff

* Improve

* correct more

* correct more

* correct more

* Fix some tests

* Add more tests

* correct more

* correct more

* correct more

* push

* correct more

* Fix more

* Better

* without dec mask

* correct more

* clean

* save intermediate

* Fix more

* Fix VAD for large-v2

* Save new

* Correct more

* make cleaner

* correct tests

* correct src

* Finish

* Fix more

* Fix more

* finish

* Fix edge cases

* fix return_dict_in_generate

* fix all tests

* make style

* add docstrings

* add docstrings

* Fix logit processor

* make style

* fix pipeline test

* fix more style

* Apply suggestions from code review

* apply feedback Sanchit

* correct more

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* correct more

* correct more

* correct more

* Fix staticmethod

* correct more

* fix

* fix slow tests

* make style

* fix tokenizer test

* fix tokenizer test

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* finish

* finish

* revert kwargs change

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* generalize asr pipeline to fbank models

* change w2v2 pipeline output

* Update test_pipelines_automatic_speech_recognition.py

* added args to the pipeline

* added test

* more sensical tests

* fixup

* docs

* typo
;

* docs

* made changes to support named args

* fixed test

* docs update

* styles

* docs

* docs

* fix

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Enable multi-label image classification

* Add first draft

* Use appropriate gelu function

* More improvements

* More improvements

* More improvements

* Convert checkpoint

* More improvements

* Improve docs, remove print statements

* More improvements

* Add link

* remove unused masking function

* begin tokenizer

* do_lower_case

* debug

* set split_special_tokens=True

* Remove script

* Fix style

* Fix rebase

* Use same design as CLIP

* Add fast tokenizer

* Add SiglipTokenizer to init, remove extra_ids

* Improve conversion script

* Use smaller inputs in conversion script

* Update conversion script

* More improvements

* Add processor to conversion script

* Add tests

* Remove print statements

* Add tokenizer tests

* Fix more tests

* More improvements related to weight initialization

* More improvements

* Make more tests pass

* More improvements

* More improvements

* Add copied from

* Add canonicalize_text

* Enable fast tokenizer tests

* More improvements

* Fix most slow tokenizer tests

* Address comments

* Fix style

* Remove script

* Address some comments

* Add copied from to tests

* Add more copied from

* Add more copied from

* Add more copied from

* Remove is_flax_available

* More updates

* Address comment

* Remove SiglipTokenizerFast for now

* Add caching

* Remove umt5 test

* Add canonicalize_text inside _tokenize, thanks Arthur

* Fix image processor tests

* Skip tests which are not applicable

* Skip test_initialization

* More improvements

* Compare pixel values

* Fix doc tests, add integration test

* Add do_normalize

* Remove causal mask and leverage ignore copy

* Fix attention_mask

* Fix remaining tests

* Fix dummies

* Rename temperature and bias

* Address comments

* Add copied from to tokenizer tests

* Add SiglipVisionModel to auto mapping

* Add copied from to image processor tests

* Improve doc

* Remove SiglipVisionModel from index

* Address comments

* Improve docs

* Simplify config

* Add first draft

* Make it like mistral

* More improvements

* Fix attention_mask

* Fix output_attentions

* Add note in docs

* Convert multilingual model

* Convert large checkpoint

* Convert more checkpoints

* Add pipeline support, correct image_mean and image_std

* Use padding=max_length by default

* Make processor like llava

* Add code snippet

* Convert more checkpoints

* Set keep_punctuation_string=None as in OpenCLIP

* Set normalized=False for special tokens

* Fix doc test

* Update integration test

* Add figure

* Update organization

* Happy new year

* Use AutoModel everywhere

---------
Co-authored-by: patil-suraj <surajp815@gmail.com>