GitLab

* Remove n_ctx from configs

* Fix GPTJ and OpenAIGPT, both are acceptable breaking changes as there are no configs such that it breaks

* Remove unecessary n_positions from TFOpenAIGPT

* up

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* fix

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* Update examples/pytorch/test_xla_examples.py

* correct labels

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Updated masked-language modeling examples in pytorch
with convention defined by #12789

* specify the text column name in the error message

* pluralize the word fields

[Speech Recognition] - Distributed training: Make sure vocab file removal and creation don't interfer  (#14161)

* up

* better

* Add seq2seq example for QnA on SQuAD Dataset.

* Changes from review - Fixing styling mistakes.

* Added how to example in README, simplified the access to dataset's preprocess function.

* Added tests for the seq2seq QA example.

* Change dataset column name to fix tests.

* Fix test command mistake.

* Add missing argument 'ignore_pad_token_for_loss' from DataTrainingArguments.

* Add missing argument 'num_beams' from DataTrainingArguments.

* Fix processing of output predicted token ids so that tokenizer decode gets appropriate input. Updated assertion conditions on the tests.

last line: "# limitations under the License." is missing

* Update SEW integration test tolerance

* Add audio classification notebooks

* up

* Update notebooks/README.md

* Update SEW integration test tolerance

* Update audio classification

* Update test

* Remove torchaudio

* Add dataset revision

* Hub branch naming

* Revert dataset revisions

* Update datasets

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* finish

* finish

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* finish all

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* fixed horizon_length

* fixed horizon_length

* fix style

This reverts commit 5b6bd4e7.

* adapt wav2vec2

* add example

* add files

* adapt

* remove bogus file

* Apply suggestions from code review

* adapt files more

* upload changes

* del old files

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* correct gradient checkpoitning

* add readme

* finish

* finish

* up

* more fixes

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* add demo run to readme

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* #12789 Replace assert statements with exceptions

* fix-copies: made copy changes to utils_qa.py in examples/pytorch/question-answering and examples/tensorflow/question-answering

* minor refactor for clarity

* Add all example files.

* Reformat files by black.

* Style.

* Remove unused imports.
Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>