GitLab

* added finished documentation

* changed version from 1.6 to 1.6.0 for distributed

* updated versions

* updated urls

* push

* finish

* finish

* make fix copies

* change name

Co-authored-by: Eliza <eliza@habanero.tiger.com.pl>

* Modify the _hp_search_setup method on the Trainer class to handle the wandb argument passed by Ray Tune to model config.

* Reformat single quotes as double quotes.

* feat: ensure unique artifact id

* feat: allow manual init

* fix: simplify reinit logic

* fix: no dropped value + immediate commits

* fix: wandb use in sagemaker

* docs: improve documenation and formatting

* fix: typos

* docs: improve formatting

Add simple one character fix so that on_step_begin and on_step_end are called at the right times (#10839)

* autogenerate target

* clarify comment

Takes care of:
https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/jinja2/open



@LysandreJik
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

Bumps [jinja2](https://github.com/pallets/jinja) from 2.11.2 to 2.11.3.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/master/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/2.11.2...2.11.3

)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Fix typo.

* Add new community notebook - wav2vec2 with GPT

* Update:community.md, new nb add
* feat: notebook of wav2vec xlsr ctc decoding with gpt logit adjustment
* Update: Wav2vec2 CTC decoding with gpt2 adjustment

* Update docs/source/community.md
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Initial script

* Add script to properly sort imports in init.

* Add to the CI

* Update utils/custom_init_isort.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Separate scripts that change content from quality

* Move class_mapping_update to style_checks
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* wording/typos tweaks

* Make model upload instructions simpler

* add uuid.hext to user_agent

* add log

* changed order of it

* renamed as session id

* renamed variable

* reverted naming of the const

* Expand a bit the presentation of examples

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Address review comments
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* added prediction stage and eval fix

* style correction

* removed extra lines

* finish

* fix

* fix

* fix

* fix

* fix backend tokenizer args override: key mismatch

* no touching the docs

* fix mpnet

* add mpnet to test

* fix test
Co-authored-by: theo <theo@matussie.re>

Following up on a security alert:
https://github.com/huggingface/transformers/security/dependabot/examples/research_projects/lxmert/requirements.txt/Pillow/open

* upload

* upload fine-tuning script

* improve

* adapt

* Apply suggestions from code review

* correct

* upload

* finalize

* remove @

* correct typos

* Fix distributed evaluation

* Use logger

* [examples/seq2seq] fix t5 examples

This PR:
* fixes T5 examples to include `--source_prefix` - it's **not** optional. If you give it a try you will see that you get 10x worse bleu scores w/o it. w/ `27.6849`, w/ `2.374`
* added a normal translation example w/o the peculiarities of MBart and T5
* reduces the default max samples to 50 so it's much faster to test quickly

summarization seems to be broken for t5 score-wise: https://github.com/huggingface/transformers/issues/10733

@sgugger

* specify explicitly the t5 models requiring the special handling

* one more

* update the t5 summarization example to use cnn_dailymail

* move max*samples into the top level README.md

* better wording

* better wording

* Added check to ensure model name passed to from_pretrained and model are the same

* Added test to check from_pretrained throws assert error when passed an incompatiable model name

* Modified assert in from_pretrained with f-strings. Modified test to ensure desired assert message is being generated

* Added check to ensure config and model has model_type

* Fix FlauBERT heads

Co-authored-by: vimarsh chaturvedi <vimarsh chaturvedi>
Co-authored-by: Stas Bekman <stas@stason.org>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>

* do not gobble certain kinds of requests.ConnectionError

* Apply review comments
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>