- 26 Jun, 2024 1 commit
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amyeroberts authored
* Skip tests properly * [test_all] * Add 'reason' as kwarg for skipTest * [test_all] Fix up * [test_all]
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- 17 Jun, 2024 1 commit
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Albert Villanova del Moral authored
* Pass datasets trust_remote_code * Pass trust_remote_code in more tests * Add trust_remote_dataset_code arg to some tests * Revert "Temporarily pin datasets upper version to fix CI" This reverts commit b7672826. * Pass trust_remote_code in librispeech_asr_dummy docstrings * Revert "Pin datasets<2.20.0 for examples" This reverts commit 833fc17a. * Pass trust_remote_code to all examples * Revert "Add trust_remote_dataset_code arg to some tests" to research_projects * Pass trust_remote_code to tests * Pass trust_remote_code to docstrings * Fix flax examples tests requirements * Pass trust_remote_dataset_code arg to tests * Replace trust_remote_dataset_code with trust_remote_code in one example * Fix duplicate trust_remote_code * Replace args.trust_remote_dataset_code with args.trust_remote_code * Replace trust_remote_dataset_code with trust_remote_code in parser * Replace trust_remote_dataset_code with trust_remote_code in dataclasses * Replace trust_remote_dataset_code with trust_remote_code arg
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- 25 Mar, 2024 1 commit
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Lysandre Debut authored
* [test_all] Remove static pretrained maps from the library's internals * Deprecate archive maps instead of removing them * Revert init changes * [test_all] Deprecate instead of removing * [test_all] PVT v2 support * [test_all] Tests should all pass * [test_all] Style * Address review comments * Update src/transformers/models/deprecated/_archive_maps.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/deprecated/_archive_maps.py Co-authored-by:
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- 13 Mar, 2024 1 commit
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Lysandre Debut authored
* Adds pretrained IDs directly in the tests * Fix tests * Fix tests * Review!
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- 18 Sep, 2023 1 commit
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Arthur authored
* 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:
Lysandre Debut <hi@lysand.re> * move warning to `from_pretrained` * update tests results now that the special tokens are always added --------- Co-authored-by:
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- 14 Sep, 2023 1 commit
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Matt authored
* 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:
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- 22 Aug, 2023 1 commit
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Arthur authored
* properly support Sequence of pretokenizers * actual fix * make sure the fix works. Tests are not working for sure! * hacky way * add TODO * update * add a todo * nits * rename test * nits * rename test
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- 22 Feb, 2023 1 commit
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Aaron Gokaslan authored
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- 06 Feb, 2023 1 commit
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Sylvain Gugger authored
* 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
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- 23 Jun, 2022 1 commit
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Younes Belkada authored
* few fixes: - hardcode tokenizer padding side - remove unused args * few fixes: - added new attribute on TokenizerTesterMixin - added new slow test - remove unused arg on tokenizer class * make style * Update src/transformers/models/bloom/tokenization_bloom_fast.py Co-authored-by:
SaulLu <55560583+SaulLu@users.noreply.github.com> * make quality * apply changes - remove new attribute - redefine test on the class * add comments Co-authored-by:
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- 09 Jun, 2022 1 commit
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Younes Belkada authored
* adding template * update model * model update * update conf for debug model * update conversion * update conversion script * update conversion script * fix missing keys check * add tests to test the tokenizer in the local machine * Change variable name * add tests on xnli dataset * add more description * add descriptions + clearer code * clearer code * adding new tests + skipping few tests because of env problems * change comment * add dtype on the configuration * add test embeddings * add hardcoded test * fix dtype issue * adding torch.float16 to config * adding more metrics (min, max, mean) * add sum * now the test passes with almost equal * add files for conversion - test passes on cpu gpu * add final changes * cleaning code * add new args in the docstring * fix one liner function * remove macros * remove forward attention * clean up init funtion * add comments on the issue * rm scale mask softmax * do make style * fix dtype in init * fixing for loop on att probs * fix style with black * fix style + doc error * fix and debug CI errors (docs + style) * some updates - change new operations - finally add scaled softmax - added new args in the config * make use cache working * add changes - save sharded models - final changes on the modeling script * add changes - comment on alibi - add TODO on seq length * test commit - added a text to test the commit Co-authored-by:
thomasw21 <24695242+thomasw21@users.noreply.github.com> * final changes - attention mask change - generation works on BS176b Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * apply modifications Co-authored-by:
Niklas Muennighoff <n.muennighoff@gmail.com> * final changes modeling Co-authored-by:
Nicolas Patry <Narsil@users.noreply.github.com> * forward contrib credits Co-authored-by:
thomasw21 <thomasw21@users.noreply.github.com> Co-authored-by:
sgugger <sgugger@users.noreply.github.com> Co-authored-by:
patrickvonplaten <patrickvonplaten@users.noreply.github.com> Co-authored-by:
LysandreJik <LysandreJik@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
justheuristic <justheuristic@gmail.com> * fix alibi - create alibi only once * add small doc * make quality * replace torch.nn * remove token type emb * fix fused op + output bias * add fused op - now can control fused operation from config * remove fused op * make quality * small changes - remove unsed args on config - removed bias gelu file - make the model torchscriptable - add torchscript slow tests * Update src/transformers/models/bloom/modeling_bloom.py * fix slow * make style * add accelerate support * add bloom to deepspeed tests * minor changes * Apply suggestions from code review Co-authored-by:
Thomwolf <thomwolf@gmail.com> Co-authored-by:
Thomas Wolf <thomas@huggingface.co> Co-authored-by:
sIncerass <sheng.s@berkeley.edu> Co-authored-by:
Stas Bekman <stas@stason.org>
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