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7 Commits
| Author | SHA1 | Message | Date | |
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Arthur
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651408a077
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[Styling] stylify using ruff (#27144)
* 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> |
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Arthur
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ef7e93699a
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[Tokenizer] Fix slow and fast serialization (#26570)
* 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>
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Arthur
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2da8853775
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🚨🚨 🚨🚨 [Tokenizer] attemp to fix add_token issues🚨🚨 🚨🚨 (#23909)
* 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> |
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Matt
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866df66fe4
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Overhaul Conversation class and prompt templating (#25323)
* 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> |
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Arthur
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30b3c46ff5
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[split_special_tokens] Add support for split_special_tokens argument to encode (#25081)
* 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 |
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silentghoul-spec
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48bef3a734
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Fixed bug to calculate correct xpath_sub_list in MarkupLMTokenizer (#22302)
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> |
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NielsRogge
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f3d2f7a6e0
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Add MarkupLM (#19198)
* First draft * Make basic test work * Fix most tokenizer tests * More improvements * Make more tests pass * Fix more tests * Fix some code quality * Improve truncation * Implement feature extractor * Improve feature extractor and add tests * Improve feature extractor tests * Fix pair_input test partly * Add fast tokenizer * Improve implementation * Fix rebase * Fix rebase * Fix most of the tokenizer tests. * propose solution for fast * add: integration test for fasttokenizer, warning for decode, fix template in slow tokenizer * add: modify markuplmconverter * add: some modify on converter and tokenizerfast * Fix style, copies * Make fixup * Update tokenization_markuplm.py * Update test_tokenization_markuplm.py * Update markuplm related * Improve processor, add integration test * Add processor test file * Improve processor * Improve processor tests * Fix more processor tests * Fix processor tests * Update docstrings * Add Copied from statements * Add more Copied from statements * Add code examples * Improve code examples * Add model to doc tests * Adding dependency check * Add dummy file * Add requires_backends * Add model to toctree * Fix more things, disable dependency check for now * Apply more suggestions * Add soft dependency * Add annotators to tests * Fix style * Remove from_slow=True * Remove print statements * Add sanity check * Fix processor test * Fix processor tests, add more docs * Add doc tests for mdx file * Add more tips * Apply suggestions Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: lockon-n <45759388+lockon-n@users.noreply.github.com> Co-authored-by: SaulLu <lucilesaul.com@gmail.com> Co-authored-by: lockon-n <dd098309@126.com> |