GitLab

* 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>

This commit fixes a bug in the LengthGroupSampler where if
model_input_name is not set, the default value is None instead of
"input_ids"

* add initial script

* finish script

* add shell script example

* accept chars_to_ignor as cl arg

* align the script with other example scripts

* add torchaudio dep

* wav2vec2: support datasets other than LibriSpeech

* Formatting run_asr.py to pass code quality test

* bundled orthography options and added verbose logs

* fixing a typo in timit fine-tuning script

* update comment for clarity

* resize_lm_head and load custom vocab from file

* adding a max_duration_in_seconds filter

* do not assign `duration_filter` lambda, use a def

* log untransliterated text as well

* fix base model for arabic

* fix duration filter when target_sr is not set

* drop duration_in_seconds when unneeded

* script for wav2vec2-large-lv60-timit-asr

* fix for "tha" in arabic corpus (huggingface#10581)

* adding more options to work with common_voice

* PR feedback (huggingface#10581)

* small README change

* Create modeling_flax_eletra with code copied from modeling_flax_bert

* Add ElectraForMaskedLM and ElectraForPretraining

* Add modeling test for Flax electra and fix naming and arg in Flax Electra model

* Add documentation

* Fix code style

* Create modeling_flax_eletra with code copied from modeling_flax_bert

* Add ElectraForMaskedLM and ElectraForPretraining

* Add modeling test for Flax electra and fix naming and arg in Flax Electra model

* Add documentation

* Fix code style

* Fix code quality

* Adjust tol in assert_almost_equal due to very small difference between model output, ranging 0.0010 - 0.0016

* Remove redundant ElectraPooler

* save intermediate

* adapt

* correct bert flax design

* adapt roberta as well

* finish roberta flax

* finish

* apply suggestions

* apply suggestions
Co-authored-by: Chris Nguyen <anhtu2687@gmail.com>

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added debug prints

* Added config

* Added prints

* Added prints

* Added extra samples to SequentialDistributedSampler

* Added extra samples to SequentialDistributedSampler

Updated SequentialDistributedSampler call

* Added deubg prints

* Removed extra prints

* Making predicitons and labels multiple of batchsize

* updated number of microbatches

* Removed extra prints

* Made start_remainder similar to DistributedSamplerWithLoop

* Minor spacing update

* Added debug prints

Added config

Added prints

Added prints

* Added extra samples to SequentialDistributedSampler

Updated SequentialDistributedSampler call

Added extra samples to SequentialDistributedSampler

Added deubg prints

Removed extra prints

Making predicitons and labels multiple of batchsize

updated number of microbatches

Removed extra prints

Squashing redundant commits

* Made start_remainder similar to DistributedSamplerWithLoop

Minor spacing update

Made start_remainder similar to DistributedSamplerWithLoop

* Test and styling

* Rename test
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* Apply black before checking copies

* Fix for class methods

* Deal with lonely brackets

* Remove debug and add forward changes

* Separate copies and fix test

* Add black as a test dependency

* document resuming in examples

* fix

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

* put trainer code last, adjust notes
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [Issue template] need to update/extend who to tag

1. need to update who to tag for `tensorflow`
2. also requesting to add someone to tag for models hub issues - perhaps separate sub-entries for UI and code - e.g. I don't know who to tag for broken models: https://github.com/huggingface/transformers/issues/10726

Thanks.

* model hub instructions

* s/jplu/LysandreJik/