GitLab

* 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

* up

* up

* up

* finish

* finish

* up

* finish all

* up

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

* up

* up

* up

* up

* up

* correct gradient checkpoitning

* add readme

* finish

* finish

* up

* more fixes

* up

* up

* add demo run to readme

* up

* #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

* ✨ update image classification example

* 📌 update reqs

* Restore broken merge

* Additional args, DDP, remove CommonLanguage

* Update examples for V100, add training results

* Style

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Remove custom datasets for simplicity, apply suggestions from code review

* Add the attention_mask flag, reorganize README
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* missing requirement

* list both

* Update run_glue.py

* Update run_glue.py

* Add model creation snippet to other scripts

* Fix style

* up

* rename

* add asr example

* add auto feature extractor

* some more fixes

* correct layerdrop

* correct for multi-gpu dist

* clean up

* refactor

* refactor

* more fixes

* more fixes

* clean-up

* finish

* up

* Apply suggestions from code review

* fix isort

* update

* up

* add note

* apply surajs suggestions

* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* isort

* small change

* Apply suggestions from code review
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Apply suggestions from code review
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* add hubert

* Update examples/pytorch/speech-recognition/run_speech_recognition_ctc.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Make gradient_checkpointing a training argument

* Update src/transformers/modeling_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Update src/transformers/configuration_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Fix tests

* Style

* document Gradient Checkpointing as a performance feature

* Small rename

* PoC for not using the config

* Adapt BC to new PoC

* Forgot to save

* Rollout changes to all other models

* Fix typo
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* Add push_to_hub to no_trainer examples

* Quality

* Document integration

* Roll out to other examples

* finish

* delete bogus file

* correct some stuff

* finish

* finish

* Fix typo in deepspeed documentation

* Add missing import in deepspeed configuration

* Fix path in translation examples

* ✅ Update image-classification example's tests

* 🔥 remove cats_and_dogs test samples

* 💄 fix flake8

* ✨ add pytorch image classification example

* 🔥 remove utils.py

* 💄 fix flake8 style issues

* 🔥 remove unnecessary line

* ✨ limit dataset sizes

* 📌 update reqs

* 🎨 restructure - use datasets lib

* 🎨 import transforms directly

* 📝 add comments

* 💄 style

* 🔥 remove flag

* 📌 update requirement warning

* 📝 add vision README.md

* 📝 update README.md

* 📝 update README.md

* 🎨 add image-classification tag to model card

* 🚚 rename vision ➡️ image-classification

* 📝 update image-classification README.md