* 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
* Implement JSON dump conversion for torch_dtype in TrainingArguments
* Add unit test for converting torch_dtype in TrainingArguments to JSON
* move unit test for converting torch_dtype into TrainerIntegrationTest class
* reformating using ruff
* convert dict_torch_dtype_to_str to private method _dict_torch_dtype_to_str
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Co-authored-by: jun.4 <jun.4@kakaobrain.com>
* 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
* Initial attempt
* Updates: PR suggestions
* Interpolate the relative position bias when interpolate_pos_encoding is True
* Add slow tag for the added tests
* Add in DATA2VEC_VISION_INPUTS_DOCSTRING
* Added interpolate pos encoding feature and test to deit
* Added interpolate pos encoding feature and test for deit TF model
* readded accidentally delted test for multi_gpu
* storing only patch_size instead of entire config and removed commented code
* Update modeling_tf_deit.py to remove extra line
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fix the get_size_with_aspect_ratio in max_size situation
* make fix-up
* add more general solution
* consider when max_size is not defined
* fix typo
* fix typo
* simple fix
* fix error
* fix if else error
* fix error of size overwrite
* fix yolos image processing
* fix detr image processing
* make
* add longest related test script
* Update src/transformers/models/yolos/image_processing_yolos.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add more test
* add test script about longest size
* remove deprecated
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* token healing impl + trie with extensions
* make fixup
* prefix-robust space tokenization
* examples readme and requirements
* make fixup
* allow input prompt and model
* redundant defaults
* Specialized Trie
* make fixup
* updated tests with new inherited Tree
* input ids to auto device_map
* rm unused import
* Update src/transformers/generation/utils.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* naming convention
* Revert "naming convention"
This reverts commit dd39d9c5b7a969e2d8a8d2a8e54f121b82dc44f0.
* naming convention
* last -hopefully- changes
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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Fix has_file in offline mode
* harmonize env variable for offline mode
* Switch to HF_HUB_OFFLINE
* fix test
* revert test_offline to test TRANSFORMERS_OFFLINE
* Add new offline test
* merge conflicts
* docs
* seems like `split_special_tokens` is used here
* split special token
* add new line at end of file
* moving split special token test to common tests
* added assertions
* test
* fixup
* add co-author
* passing rest of args to gptsan_japanese, fixing tests
* removing direct comparison of fast and slow models
* adding test support for UDOP and LayoutXLM
* ruff fix
* readd check if slow tokenizer
* modify test to handle bos tokens
* removing commented function
* trigger build
* applying review feedback - updated docstrings, var names, and simplified tests
* ruff fixes
* Update tests/test_tokenization_common.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* applying feedback, comments
* shutil temp directory fix
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Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MBP.localdomain>
Co-authored-by: itazap <itazap@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MacBook-Pro.local>
* added interpolation for vitmae model in pytorch as well as tf.
* Update modeling_vit_mae.py
irreugalr import fixed
* small changes and proper formatting
* changes suggested in review.
* modified decoder interpolate_func
* arguments and docstring fix
* Apply suggestions from code review
doc fixes
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add test that currently fails
* test passed
* all perceiver passed
* fixup, style, quality, repo-consistency, all passed
* Apply suggestions from code review: default to False + compute sqrt once only
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fix a minor bracket
* replace dim with self._num_channels
* add arguments to the rest preprocessors
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Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
