* rm already deprecated padding max length
* truncate_strategy AS AN ARG is already deprecated for a few years
* fix
* rm test_padding_to_max_length
* rm pad_to_max_length=True in other tests
* rm from common
* missed fnet
* kinda works
* update
* add tests
* update
* use special tokens in processors
* typo
* fix copies
* fix
* fix moshi after rebase
* update
* fix tests
* update
* Update docs/source/en/main_classes/tokenizer.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* update docs
* test for load time adding tokens
* fix some more tests which are now fetched better
* one more fix
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.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>
* First commit while I figure this out
* make fixup
* Remove unused method
* Store prompt attrib
* Fix prompt argument for tests
* Make same changes in fast tokenizer
* Remove global prompts from fast tokenizer too
* stash commit
* stash commit
* Migrate PromptConfig to its True Final Location
* Replace Conversation entirely with the new class
* Import/dependency fixes
* Import/dependency fixes
* Change format for lots of default prompts
* More default prompt fixups
* Revert llama old methods so we can compare
* Fix some default configs
* Fix some default configs
* Fix misspelled kwarg
* Fixes for Blenderbot
* make fixup
* little rebase cleanup
* Add basic documentation
* Quick doc fix
* Truncate docstring for now
* Add handling for the case when messages is a single string
* Quick llama merges
* Update conversational pipeline and tests
* Add a couple of legacy properties for backward compatibility
* More legacy handling
* Add docstring for build_conversation_input_ids
* Restructure PromptConfig
* Let's start T E M P L A T I N G
* Refactor all default configs to use templates instead
* Revert changes to the special token properties since we don't need them anymore
* More class templates
* Make the sandbox even sandier
* Everything replaced with pure templating
* Remove docs for PromptConfig
* Add testing and optional requirement boilerplate
* Fix imports and make fixup
* Fix LLaMA tests and add Conversation docstring
* Finally get LLaMA working with the template system
* Finally get LLaMA working with the template system
* make fixup
* make fixup
* fmt-off for the long lists of test tokens
* Rename method to apply_chat_template for now
* Start on documentation
* Make chat_template a property that reads through to the default if it's not set
* Expand docs
* Expand chat templating doc some more
* trim/lstrip blocks by default and update doc
* Few doc tweaks
* rebase cleanup
* Clarify docstring
* rebase cleanup
* rebase cleanup
* make fixup
* Quick doc edit
* Reformat the standard template to match ChatML
* Re-add PEFT check
* Update docs/source/en/chat_templating.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Add apply_chat_template to the tokenizer doc
* make fixup
* Add doc links
* Fix chat links
* Fix chat links
* Explain system messages in the doc
* Add chat template test
* Proper save-loading for chat template attribute
* Add test skips for layout models
* Remove _build_conversation_input_ids, add default_chat_template to code_llama
* Make sure all LLaMA models are using the latest template
* Remove default_system_prompt block in code_llama because it has no default prompt
* Update ConversationPipeline preprocess
* Add correct #Copied from links to the default_chat_templates
* Remove unneeded type checking line
* Add a dummy mark_processsed method
* Reorganize Conversation to have **deprecated_kwargs
* Update chat_templating.md
* Quick fix to LLAMA tests
* Small doc tweaks
* Add proper docstrings and "copied from" statements to all default chat templates
* Merge use_default_system_prompt support for code_llama too
* Improve clarity around self.chat_template
* Docstring fix
* Fix blenderbot default template
* More doctest fix
* Break out some tokenizer kwargs
* Update doc to explain default templates
* Quick tweaks to tokenizer args
* Cleanups for tokenizer args
* Add note about cacheing
* Quick tweak to the chat-templating doc
* Update the LLaMA template with error checking and correct system message embedding
* make fixup
* make fixup
* add requires_jinja
* Cleanup to expected output formatting
* Add cacheing
* Fix typo in llama default template
* Update LLaMA tests
* Update documentation
* Improved legacy handling in the Conversation class
* Update Jinja template with proper error handling
* Quick bugfix
* Proper exception raising
* Change cacheing behaviour so it doesn't try to pickle an entire Jinja env
* make fixup
* rebase cleanup
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* draft changes
* update and add tests
* styling for no
* move test
* path to usable model
* update test
* small update
* update bertbased tokenizers
* don'tuse kwargs for _tokenize
* don'tuse kwargs for _tokenize
* fix copies
* update
* update test for special tokenizers
* fixup
* skip two tests
* remove pdb breakpiont()
* wowo
* rewrite custom tests
* nits
* revert chang in target keys
* fix markup lm
* update documentation of the argument
Fixed bug to calculate correct xpath_sub_list in MarkupLMTokenizer. Earlier xpath_sub_list was same as xpath_tags_list
Co-authored-by: dusejat <dusejat@amazon.com>
