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11bbb505c7
4 Commits
| Author | SHA1 | Message | Date | |
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Lysandre Debut
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11bbb505c7
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Adds pretrained IDs directly in the tests (#29534)
* Adds pretrained IDs directly in the tests * Fix tests * Fix tests * Review! |
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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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Arthur
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4fa0aff21e
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[VITS] tokenizer integration test: fix revision did not exist (#25996)
* revision did not exist * correct revision |
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Matthijs Hollemans
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4ece3b9433
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add VITS model (#24085)
* add VITS model
* let's vits
* finish TextEncoder (mostly)
* rename VITS to Vits
* add StochasticDurationPredictor
* ads flow model
* add generator
* correctly set vocab size
* add tokenizer
* remove processor & feature extractor
* add PosteriorEncoder
* add missing weights to SDP
* also convert LJSpeech and VCTK checkpoints
* add training stuff in forward
* add placeholder tests for tokenizer
* add placeholder tests for model
* starting cleanup
* let the great renaming begin!
* use config
* global_conditioning
* more cleaning
* renaming variables
* more renaming
* more renaming
* it never ends
* reticulating the splines
* more renaming
* HiFi-GAN
* doc strings for main model
* fixup
* fix-copies
* don't make it a PreTrainedModel
* fixup
* rename config options
* remove training logic from forward pass
* simplify relative position
* use actual checkpoint
* style
* PR review fixes
* more review changes
* fixup
* more unit tests
* fixup
* fix doc test
* add integration test
* improve tokenizer tests
* add tokenizer integration test
* fix tests on GPU (gave OOM)
* conversion script can handle repos from hub
* add conversion script for all MMS-TTS checkpoints
* automatically create a README for the converted checkpoint
* small changes to config
* push README to hub
* only show uroman note for checkpoints that need it
* remove conversion script because code formatting breaks the readme
* make WaveNet layers configurable
* rename variables
* simplifying the math
* output attentions and hidden states
* remove VitsFlip in flow model
* also got rid of the other flip
* fix tests
* rename more variables
* rename tokenizer, add phonemization
* raise error when phonemizer missing
* re-order config docstrings to match method
* change config naming
* remove redundant str -> list
* fix copyright: vits authors -> kakao enterprise
* (mean, log_variances) -> (prior_mean, prior_log_variances)
* if return dict -> if not return dict
* speed -> speaking rate
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* update fused tanh sigmoid
* reduce dims in tester
* audio -> output_values
* audio -> output_values in tuple out
* fix return type
* fix return type
* make _unconstrained_rational_quadratic_spline a function
* all nn's to accept a config
* add spectro to output
* move {speaking rate, noise scale, noise scale duration} to config
* path -> attn_path
* idxs -> valid idxs -> padded idxs
* output values -> waveform
* use config for attention
* make generation work
* harden integration test
* add spectrogram to dict output
* tokenizer refactor
* make style
* remove 'fake' padding token
* harden tokenizer tests
* ron norm test
* fprop / save tests deterministic
* move uroman to tokenizer as much as possible
* better logger message
* fix vivit imports
* add uroman integration test
* make style
* up
* matthijs -> sanchit-gandhi
* fix tokenizer test
* make fix-copies
* fix dict comprehension
* fix config tests
* fix model tests
* make outputs consistent with reverse/not reverse
* fix key concat
* more model details
* add author
* return dict
* speaker error
* labels error
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* Update src/transformers/models/vits/convert_original_checkpoint.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* remove uromanize
* add docstrings
* add docstrings for tokenizer
* upper-case skip messages
* fix return dict
* style
* finish tests
* update checkpoints
* make style
* remove doctest file
* revert
* fix docstring
* fix tokenizer
* remove uroman integration test
* add sampling rate
* fix docs / docstrings
* style
* add sr to model output
* fix outputs
* style / copies
* fix docstring
* fix copies
* remove sr from model outputs
* Update utils/documentation_tests.txt
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* add sr as allowed attr
---------
Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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