GitLab

* Move the TF pin for 2.15

* make fixup

* update `tokenizers` version pin

* force tokenizers>=0.15

* use  0.14
Co-authored-by: Lysandre <lysandre@huggingface.co>

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

* Support runs/

* Upload runs folder as part of push to hub

* Add a test

* Add to test deps

* Update with proposed solution from Slack

* Ensure that repo gets deleted in tests

Pin fsspec

* Pin Keras for now out of paranoia

* Add the keras pin to _tests_requirements.txt too

* Make sure the Keras version matches the TF one

* make fixup

* remove SharedDDP as it was drepracated

* apply review suggestion

* make style

* Oops,forgot to remove the compute_loss context manager in Seq2SeqTrainer.

* remove the unnecessary conditional statement

* keep the logic of IPEX

* clean code

* mix precision setup & make fixup

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Co-authored-by: statelesshz <jihuazhong1@huawei.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

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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>

update
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Update the TF pin and see if anything breaks

* make fixup

* make fixup

* make fixup

* Document and clean more utils.

* More documentation and fixes

* Switch to Lysandre's token

* Address review comments

* Actually put else

* First draft

* Deal with progress bars

* Update src/transformers/utils/hub.py
Co-authored-by: Lucain <lucainp@gmail.com>

* Address review comments

* Forgot one

* Pin hf_hub

* Add argument for push all and fix tests

* Fix tests

* Address review comments

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Co-authored-by: Lucain <lucainp@gmail.com>

* [JAX] Bump min version

* make fixup

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

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

* Limit Pydantic to V1 in dependencies

Pydantic is about to release V2 release which will break a lot of things. This change prevents `transformers` to be used with Pydantic V2 to avoid breaking things.

* more

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix

* fix

* fix

* fix

* fix

* fix

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* An end to accursed version-specific imports

* No more K.is_keras_tensor() either

* Update dependency tables

* Use a cleaner call context function getter

* Add a cap to <2.14

* Add cap to examples requirements too

* Clean up old Accelerate checks

* Put back imports

* Min accelerate

* Also min version

* Min accelerate

* Also min version

* To different minor version

* Empty

* Upgrade safetensors

* Second table

* fix for ragged list

* unpin numba

* make style

* np.object -> object

* propagate changes to tokenizer as well

* np.long -> "long"

* revert tokenization changes

* check with tokenization changes

* list/tuple logic

* catch numpy

* catch else case

* clean up

* up

* better check

* trigger ci

* Empty commit to trigger CI

* Making `safetensors` a core dependency.

To be merged later, I'm creating the PR so we can try it out.

* Update setup.py

* Remove duplicates.

* Even more redundant.

* Add a test of the built release

* Polish everything

* Trigger CI

* min. version for pytest

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Agents extras

* Add to docs

* chore: allow protobuf 3.20.3

Allow latest bugfix release for protobuf (3.20.3)

* chore: update auto-generated dependency table

update auto-generated dependency table

* run in subprocess

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

* Apply suggestions

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>