GitLab

* Adds pretrained IDs directly in the tests

* Fix tests

* Fix tests

* Review!

* Add first draft

* Use appropriate gelu function

* More improvements

* More improvements

* More improvements

* Convert checkpoint

* More improvements

* Improve docs, remove print statements

* More improvements

* Add link

* remove unused masking function

* begin tokenizer

* do_lower_case

* debug

* set split_special_tokens=True

* Remove script

* Fix style

* Fix rebase

* Use same design as CLIP

* Add fast tokenizer

* Add SiglipTokenizer to init, remove extra_ids

* Improve conversion script

* Use smaller inputs in conversion script

* Update conversion script

* More improvements

* Add processor to conversion script

* Add tests

* Remove print statements

* Add tokenizer tests

* Fix more tests

* More improvements related to weight initialization

* More improvements

* Make more tests pass

* More improvements

* More improvements

* Add copied from

* Add canonicalize_text

* Enable fast tokenizer tests

* More improvements

* Fix most slow tokenizer tests

* Address comments

* Fix style

* Remove script

* Address some comments

* Add copied from to tests

* Add more copied from

* Add more copied from

* Add more copied from

* Remove is_flax_available

* More updates

* Address comment

* Remove SiglipTokenizerFast for now

* Add caching

* Remove umt5 test

* Add canonicalize_text inside _tokenize, thanks Arthur

* Fix image processor tests

* Skip tests which are not applicable

* Skip test_initialization

* More improvements

* Compare pixel values

* Fix doc tests, add integration test

* Add do_normalize

* Remove causal mask and leverage ignore copy

* Fix attention_mask

* Fix remaining tests

* Fix dummies

* Rename temperature and bias

* Address comments

* Add copied from to tokenizer tests

* Add SiglipVisionModel to auto mapping

* Add copied from to image processor tests

* Improve doc

* Remove SiglipVisionModel from index

* Address comments

* Improve docs

* Simplify config

* Add first draft

* Make it like mistral

* More improvements

* Fix attention_mask

* Fix output_attentions

* Add note in docs

* Convert multilingual model

* Convert large checkpoint

* Convert more checkpoints

* Add pipeline support, correct image_mean and image_std

* Use padding=max_length by default

* Make processor like llava

* Add code snippet

* Convert more checkpoints

* Set keep_punctuation_string=None as in OpenCLIP

* Set normalized=False for special tokens

* Fix doc test

* Update integration test

* Add figure

* Update organization

* Happy new year

* Use AutoModel everywhere

---------
Co-authored-by: patil-suraj <surajp815@gmail.com>

* try to stylify using ruff

* might need to remove these changes?

* use ruf format andruff check

* use isinstance instead of type comparision

* use # fmt: skip

* use # fmt: skip

* nits

* soem styling changes

* update ci job

* nits isinstance

* more files update

* nits

* more nits

* small nits

* check and format

* revert wrong changes

* actually use formatter instead of checker

* nits

* well docbuilder is overwriting this commit

* revert notebook changes

* try to nuke docbuilder

* style

* fix feature exrtaction test

* remve `indent-width = 4`

* fixup

* more nits

* update the ruff version that we use

* style

* nuke docbuilder styling

* leve the print for detected changes

* nits

* Remove file I/O
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

* style

* nits

* revert notebook changes

* Add # fmt skip when possible

* Add # fmt skip when possible

* Fix

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* NIts

* more fixes

* fix tapas

* Another way to skip

* Recommended way

* Fix two more fiels

* Remove asynch
Remove asynch

---------
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

* fix

* last attempt

* current work

* fix forward compatibility

* save all special tokens

* current state

* revert additional changes

* updates

* remove tokenizer.model

* add a test and the fix

* nit

* revert one more break

* fix typefield issue

* quality

* more tests

* fix fields for FC

* more nits?

* new additional changes

* how

* some updates

* simplify all

* more nits

* revert some things to original

* nice

* nits

* a small hack

* more nits

* ahhaha

* fixup

* update

* make test run on ci

* use subtesting

* update

* Update .circleci/create_circleci_config.py

* updates

* fixup

* nits

* replace typo

* fix the test

* nits

* update

* None max dif pls

* a partial fix

* had to revert one thing

* test the fast

* updates

* fixup

* and more nits

* more fixes

* update

* Oupsy 👁



* nits

* fix marian

* on our way to heaven

* Update src/transformers/models/t5/tokenization_t5.py
Co-authored-by: Lysandre Debut <hi@lysand.re>

* fixup

* Update src/transformers/tokenization_utils_fast.py
Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com>

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com>

* fix phobert

* skip some things, test more

* nits

* fixup

* fix deberta

* update

* update

* more updates

* skip one test

* more updates

* fix camembert

* can't test this one

* more good fixes

* kind of a major update

- seperate what is only done in fast in fast init and refactor
- add_token(AddedToken(..., speicla = True)) ignores it in fast
- better loading

* fixup

* more fixups

* fix pegasus and mpnet

* remove skipped tests

* fix phoneme tokenizer if self.verbose

* fix individual models

* update common tests

* update testing files

* all over again

* nits

* skip test for markup lm

* fixups

* fix order of addition in fast by sorting the added tokens decoder

* proper defaults for deberta

* correct default for fnet

* nits on add tokens, string initialized to special if special

* skip irrelevant herbert tests

* main fixes

* update test added_tokens_serialization

* the fix for bart like models and class instanciating

* update bart

* nit!

* update idefix test

* fix whisper!

* some fixup

* fixups

* revert some of the wrong chanegs

* fixup

* fixup

* skip marian

* skip the correct tests

* skip for tf and flax as well

---------
Co-authored-by: Lysandre Debut <hi@lysand.re>
Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com>

* fix test for bart. Order is correct now let's skip BPEs

* ouf

* styling

* fix bert....

* slow refactoring

* current updates

* massive refactoring

* update

* NICE!

* update to see where I am at

* updates

* update

* update

* revert

* updates

* updates

* start supporting legacy_save

* styling

* big update

* revert some changes

* nits

* nniiiiiice

* small fixes

* kinda fix t5 with new behaviour

* major update

* fixup

* fix copies

* today's updates

* fix byt5

* upfate

* update

* update

* updates

* update vocab size test

* Barthez does not use not need the fairseq offset ids

* super calll must be after

* calll super

* move all super init

* move other super init

* fixup

* nits

* more fixes

* nits

* more fixes

* nits

* more fix

* remove useless files

* ouch all of them are affected

* and more!

* small imporvements

* no more sanitize token

* more changes around unique no split tokens

* partially fix more things

* keep legacy save but add warning

* so... more fixes

* updates

* guess deberta tokenizer could be nuked

* fixup

* fixup did some bad things

* nuke it if it breaks

* remove prints and pretrain fast from slow with new format.

* fixups

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

* fiou

* nit

* by default specials should not be normalized?

* update

* remove brakpoint

* updates

* a lot of updates

* fixup

* fixes revert some changes to match fast

* small nits

* that makes it cleaner

* fix camembert accordingly

* update

* some lest breaking changes

* update

* fixup

* fix byt5 and whisper mostly

* some more fixes, canine's byte vocab

* fix gpt2

* fix most of the perceiver tests (4 left)

* fix layout lmv3

* fixup

* fix copies for gpt2 style

* make sure to only warn once

* fix perciever and gpt2 tests

* some more backward compatibility: also read special tokens map because some ppl use it........////.....

* fixup

* add else when reading

* nits

* fresh updates

* fix copies

* will this make everything faster?

* fixes

* more fixes

* update

* more fixes

* fixup

* is the source of truth right?

* sorry camembert for the troubles

* current updates

* fixup

* update led

* update

* fix regression

* fix single word

* more model specific fixes

* fix t5 tests

* fixup

* more comments

* update

* fix nllb

* rstrip removed

* small fixes

* better handle additional_special_tokens and vocab sizes

* fixing

* styling

* fix 4 / 21

* fixup

* fix nlbb's tests

* some fixes

* fix t5

* fixes

* style

* fix canine tests

* damn this is nice

* nits

* m2m100 nit

* fixups

* fixes!

* fixup

* stash

* fix merge

* revert bad change

* fixup

* correct order for code Llama

* fix speecht5 post merge

* styling

* revert source of 11 fails

* small nits

* all changes in one go

* fnet hack

* fix 2 more tests

* update based on main branch of tokenizers

* fixup

* fix VITS issues

* more fixes

* fix mgp test

* fix camembert issues

* oups camembert still has 2 failing tests

* mluke fixes

* decode fixes

* small nits

* nits

* fix llama and vits

* fix camembert

* smal nits

* more fixes when initialising a fast from a slow and etc

* fix one of the last test

* fix CPM tokenizer test

* fixups

* fix pop2piano

* fixup

* ⚠️ Change tokenizers required version ⚠️

* ⚠️ Change tokenizers required version ⚠️

* "tokenizers>=0.14,<0.15", don't forget smaller than

* fix musicgen tests and pretraiendtokenizerfast

* fix owlvit and all

* update t5

* fix 800 red

* fix tests

* fix the fix of the fix of t5

* styling

* documentation nits

* cache _added_tokens_encoder

* fixups

* Nit

* fix red tests

* one last nit!

* make eveything a lot simpler

* Now it's over 😉



* few small nits

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* updates that work for now

* tests that should no be skipped / changed and fixed next

* fixup

* i am ashamed

* pushe the fix

* update

* fixups

* nits

* fix added_tokens_encoder

* fix canine test

* fix pegasus vocab

* fix transfoXL

* fixup

* whisper needs to be fixed for train new

* pegasus nits

* more pegasus fixes

* minor update

* better error message in failed test

* fix whisper failing test

* fix whisper failing test

* fix pegasus

* fixup

* fix **** pegasus

* reset things

* remove another file

* attempts to fix the strange custome encoder and offset

* nits here and there

* update

* fixup

* nit

* fix the whisper test

* nits nits

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* updates based on review

* some small update to potentially remove

* nits

* import rlu cache

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Lysandre Debut <hi@lysand.re>

* move warning to `from_pretrained`

* update tests results now that the special tokens are always added

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

* return when length is zero

* Add tests
Co-authored-by: Avnish Narayan <38871737avnishn@users.noreply.github.com>

* Co-authored-by: avnishn
<38871737+avnishn@users.noreply.github.com>

* codeLlama doc should not be on Main

* update test

---------
Co-authored-by: Avnish Narayan <38871737avnishn@users.noreply.github.com>

* fix EVERYTHING

* more fixes

* ⚗️⚗️ Tokenizer magic ⚗️⚗

️

* wrong value but test passes for the TODO

* update

* updat

* safe protobuf import?

* style

* non gated repo

* update

* fixup

* Update src/transformers/models/llama/tokenization_llama.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/llama/tokenization_llama.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/t5/test_tokenization_t5.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* nits

* fix t5 too

* use assert equal

* fix llama decoding

* nits on t5

* fixup

* only remove the prefix space, not other spaces

* more deconding tests and more todos

* fix CI as well

* fixup

* skip failing test on CI (its tf its ok)

* skip test_subword_regularization_tokenizer that is also crashing on the CI for TF

* update llama

* revert good fixes

* fixup

* empty

* explain why we need to encode with an additional token

* better warning?

* nits

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

[Patch-t5-tokenizer] Patches the changes on T5 to make sure previous behaviour is still valide for beginning of words (#24622)

* patch `_tokenize` function

* more tests

* properly fix

* fixup

* Update src/transformers/models/t5/tokenization_t5.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix without ifs

* update

* protect import

* add python processing

* is first needed

* add doc and update with lefacy

* updaate

* fix T5 SPM converter

* styling

* fix T5 warning

* add is_seqio_available

* remove is_first

* revert some changes

* more tests and update

* update llama test batterie

* fixup

* refactor T5 spm common tests

* draft the llama tests

* update

* uopdate test

* nits

* refine

* name nit

* fix t5 tests

* fix T5

* update

* revert convert slow to fast changes that fail lots of tests

* legacy support

* fixup

* nits is first not defined

* don't use legacy behaviour for switch transformers

* style

* My attempt to check.

* nits

* fixes

* update

* fixup

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* updates

* fixup

* add legacy warning

* fixup

* warning_once nit

* update t5 documentation test

* update llama tok documentation

* add space to warning

* nits

* nit

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* last nits

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* don't add space before single letter chars that don't have a merge

* fix the fix

* fixup

* add a test

* more testing

* fixup

* hack to make sure fast is also fixed

* update switch transformers test

* revert convert slow

* Update src/transformers/models/t5/tokenization_t5.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add typechecking

* quality

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* using raw string for regex to search <extra_id>

* fix the same issue in test file:`tokenization_t5.py`

* change the way sentinel tokens can retrived

* Fix line length for doc string

* Fix line length for doc string

* Add more stronger test for t5 tokenization

* Format file changes

* Make a stronger test for filtering sentinel tokens

* fix file format issues

* Preliminary work on tokenizers

* Quality + fix tests

* Treat processors

* Fix pad

* Remove all uses of  in tests, docs and examples

* Replace all as_target_tokenizer

* Fix tests

* Fix quality

* Update examples/flax/image-captioning/run_image_captioning_flax.py
Co-authored-by: amyeroberts <amy@huggingface.co>

* Style
Co-authored-by: amyeroberts <amy@huggingface.co>

* move test model folders (TODO: fix imports and others)

* fix (potentially partially) imports (in model test modules)

* fix (potentially partially) imports (in tokenization test modules)

* fix (potentially partially) imports (in feature extraction test modules)

* fix import utils.test_modeling_tf_core

* fix path ../fixtures/

* fix imports about generation.test_generation_flax_utils

* fix more imports

* fix fixture path

* fix get_test_dir

* update module_to_test_file

* fix get_tests_dir from wrong transformers.utils

* update config.yml (CircleCI)

* fix style

* remove missing imports

* update new model script

* update check_repo

* update SPECIAL_MODULE_TO_TEST_MAP

* fix style

* add __init__

* update self-scheduled

* fix add_new_model scripts

* check one way to get location back

* python setup.py build install

* fix import in test auto

* update self-scheduled.yml

* update slack notification script

* Add comments about artifact names

* fix for yolos
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [T5 Tokenizer] Model has no fixed position ids - there is no hardcoded max length

* [T5 Tokenizer] Model has no fixed position ids - there is no hardcoded max length

* correct t5 tokenizer

* correct t5 tokenizer

* fix test

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

* finish
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* Per-folder tests reorganization
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Stas Bekman <stas@stason.org>

Change how "additional_special_tokens" argument in the ".from_pretrained" method of the tokenizer is taken into account (#13056)

* add test

* add change in PretrainedTokenizerBase

* change Luke

* deactivate

* add the possibility to add additional special tokens for M2M100

* format

* add special test for canine

* proposed changes for mbart

* proposed changes for mbart50

* proposed changes for byt5

* proposed changes for canine

* proposed changes for t5

* test fast and slow

* remove comment

* remove comment

* add fast version for all tests

* replace break by continue

* add more comments

* add check to avoid duplicates

* remove comment

* format

* proposed change for wave2vec2

* reverse changes mbart

* uncomment

* format

* add test_vocab_size for sentencepiece tok.

* add test_get_vocab for sentencepiece tok.

* add test_convert_token_and_id for sentencepiece tok.

* add test_tokenize_and_convert_tokens_to_string for all tok.

* improve test_tokenize_and_convert_tokens_to_string for sp. tok.

* add common tokenizer integration tests
- for albert
- for barthez

* add tokenizer integration tests to bert gen.

* add most tokenizer integration tests

* fix camembert tokenizer integration test

* add tokenizer integration test to marian

* add tokenizer integration test to reformer

* add typing and doc to tokenizer_integration_test_util

* fix tokenizer integration test of reformer

* improve test_sentencepiece_tokenize_and_convert_tokens_to_string

* empty commit to trigger CI

* fix tokenizer integration test of reformer

* remove code not needed anymore

* empty commit to trigger CI

* empty commit to trigger CI

* improve slow class tok usage at xlm rob

* add subword regularization for barthez

* improve barthez tok. test

* fix tokenizer tests

* add subword regularization for camembert

* add subword regularization for deberta v2 tokenizer

* add more doc to deberta v2 tokenizer

* add subword regularization for speech to text tok.

* fix sp_model_kwargs type in speech 2 text tok.

* add subword regularization for M2M100 tok.

* add more concrete type hints

* fix tests for m2m100 and s2t tok.

* add missing Any import

* fix syntax error in m2m100 tok.

* fix unpickle of m2m100 and s2t tok.

* fix test of m2m100 and s2t tok.

* improve unpickle of deberta v2 tok.

* add test for pickle of barthez & camembert

* fix pickle of barthez & camembert

* add test for deberta v2 tok. pickle

* fix m2m100 tok. pickle

* fix s2t tok. pickle

* add subword regularization to albert tok.

* refactor subword reg. test into TokenizerTesterMixin

improve albert tok. test

remove sample argument form albert tok.

check subword reg. using TokenizerTesterMixin

improve tok. tests

improve xlm roberta tok. tests

improve xlm roberta tok. tests

* add subword regularization for big bird t.

* improve xlm roberta tok. test

* add subword regularization for mbart50 tok.

* add subword regularization for pegasus tok.

* add subword regularization for reformer tok.

* add subword regularization for T5 tok.

* fix t5 tok. test formatting

* add subword regularization for xlm_proph. tok.

* add subword regularization for xlnet tok.

* add subword regularization for gert_gen tok.

* add typing to tokenizers

* add typing to xlm rob. tok

* add subword regularization for marian tok.

* add reverse tok. test

* fix marian tok test

* fix marian tok test

* fix casing in tok. tests

* fix style of tok. common test

* fix deberta v2 tok test

* add type annotations to tok. tests

* add type annotations to tok. __init__

* add typing to kokenizer

* add type annotations to tok. __init__

* don't specify the default when it's None

* fix barthez tok. doc

* move sentencepiece tok. tests to TokenizerTesterMixin

* fix unused imports

* fix albert tok. test

* add comment to sentencepiece test options

* fix Any import at big bird tok.

* fix Any import at xlm prophetnet tok.

* empty commit to trigger CI

* Fix tests

* Reorganize

* Update tests/test_modeling_mobilebert.py

* Remove unnecessary addition

* make flax tests pytorch independent

* fix typo

* finish

* improve circle ci

* fix return tensors

* correct flax test

* re-add sentencepiece

* last tokenizer fixes

* finish maybe now

* Deprecate prepare_seq2seq_batch

* Fix last tests

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

* More review comments
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* Don't import libs to check they are available

* Don't import integrations at init

* Add importlib_metdata to deps

* Remove old vars references

* Avoid syntax error

* Adapt testing utils

* Try to appease torchhub

* Add dependency

* Remove more private variables

* Fix typo

* Another typo

* Refine the tf availability test

* splitting fast and slow tokenizers [WIP]

* [WIP] splitting sentencepiece and tokenizers dependencies

* update dummy objects

* add name_or_path to models and tokenizers

* prefix added to file names

* prefix

* styling + quality

* spliting all the tokenizer files - sorting sentencepiece based ones

* update tokenizer version up to 0.9.0

* remove hard dependency on sentencepiece 🎉

* and removed hard dependency on tokenizers 🎉



* update conversion script

* update missing models

* fixing tests

* move test_tokenization_fast to main tokenization tests - fix bugs

* bump up tokenizers

* fix bert_generation

* update ad fix several tokenizers

* keep sentencepiece in deps for now

* fix funnel and deberta tests

* fix fsmt

* fix marian tests

* fix layoutlm

* fix squeezebert and gpt2

* fix T5 tokenization

* fix xlnet tests

* style

* fix mbart

* bump up tokenizers to 0.9.2

* fix model tests

* fix tf models

* fix seq2seq examples

* fix tests without sentencepiece

* fix slow => fast  conversion without sentencepiece

* update auto and bert generation tests

* fix mbart tests

* fix auto and common test without tokenizers

* fix tests without tokenizers

* clean up tests lighten up when tokenizers + sentencepiece are both off

* style quality and tests fixing

* add sentencepiece to doc/examples reqs

* leave sentencepiece on for now

* style quality split hebert and fix pegasus

* WIP Herbert fast

* add sample_text_no_unicode and fix hebert tokenization

* skip FSMT example test for now

* fix style

* fix fsmt in example tests

* update following Lysandre and Sylvain's comments

* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/testing_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Adding Fast tokenizers for SentencePiece based tokenizers - Breaking: remove Transfo-XL fast tokenizer (#7141)

* [WIP] SP tokenizers

* fixing tests for T5

* WIP tokenizers

* serialization

* update T5

* WIP T5 tokenization

* slow to fast conversion script

* Refactoring to move tokenzier implementations inside transformers

* Adding gpt - refactoring - quality

* WIP adding several tokenizers to the fast world

* WIP Roberta - moving implementations

* update to dev4 switch file loading to in-memory loading

* Updating and fixing

* advancing on the tokenizers - updating do_lower_case

* style and quality

* moving forward with tokenizers conversion and tests

* MBart, T5

* dumping the fast version of transformer XL

* Adding to autotokenizers + style/quality

* update init and space_between_special_tokens

* style and quality

* bump up tokenizers version

* add protobuf

* fix pickle Bert JP with Mecab

* fix newly added tokenizers

* style and quality

* fix bert japanese

* fix funnel

* limite tokenizer warning to one occurence

* clean up file

* fix new tokenizers

* fast tokenizers deep tests

* WIP adding all the special fast tests on the new fast tokenizers

* quick fix

* adding more fast tokenizers in the fast tests

* all tokenizers in fast version tested

* Adding BertGenerationFast

* bump up setup.py for CI

* remove BertGenerationFast (too early)

* bump up tokenizers version

* Clean old docstrings

* Typo

* Update following Lysandre comments
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>

* add conversion script

* improve conversion script

* make style

* add tryout files

* fix

* update

* add causal bert

* better names

* add tokenizer file as well

* finish causal_bert

* fix small bugs

* improve generate

* change naming

* renaming

* renaming

* renaming

* remove leftover files

* clean files

* add fix tokenizer

* finalize

* correct slow test

* update docs

* small fixes

* fix link

* adapt check repo

* apply sams and sylvains recommendations

* fix import

* implement Lysandres recommendations

* fix logger warn

* broken test

* batch parity

* tests pass

* boom boom

* boom boom

* split out bart tokenizer tests

* fix tests

* boom boom

* Fixed dataset bug

* Fix marian

* Undo extra

* Get marian working

* Fix t5 tok tests

* Test passing

* Cleanup

* better assert msg

* require torch

* Fix mbart tests

* undo extra decoder_attn_mask change

* Fix import

* pegasus tokenizer can ignore src_lang kwargs

* unused kwarg test cov

* boom boom

* add todo for pegasus issue

* cover one word translation edge case

* Cleanup

* doc

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* tests