- 17 Jun, 2024 1 commit
-
-
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
-
- 03 Jun, 2024 1 commit
-
-
Yih-Dar authored
* fix * fix * fix * fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
-
- 24 May, 2024 1 commit
-
-
Ita Zaporozhets authored
* add prefix space ignored in llama #29625 * adding test with add_prefix_space=False * ruff --------- Co-authored-by:Ita Zaporozhets <itazaporozhets@Itas-MBP.localdomain>
-
- 21 May, 2024 1 commit
-
-
Mohit Sharma authored
* add fix * update import * updated dicts and comments * remove prints * Update testing_utils.py
-
- 20 May, 2024 1 commit
-
-
Joseph Enguehard authored
* Add MistralForTokenClassification * Add tests and docs * Add token classification for Mixtral and Qwen2 * Save llma for token classification draft * Add token classification support for Llama, Gemma, Persimmon, StableLm and StarCoder2 * Formatting * Add token classification support for Qwen2Moe model * Add dropout layer to each ForTokenClassification model * Add copied from in tests * Update src/transformers/models/llama/modeling_llama.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * Propagate suggested changes * Style --------- Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
-
- 17 May, 2024 1 commit
-
-
Younes Belkada authored
* add llama logits test * fix * fix tests " " * fix for a10 * format * format * fix * [run-slow] remove fmt: skip * Your commit message * test commit * Revert "test commit" This reverts commit b66e01e55f5e31d4c0479cac4bcacc0f123dc9d2. * [run-slow]llama * Update tests/models/llama/test_modeling_llama.py * [run-slow]llama * empty commit
-
- 16 May, 2024 1 commit
-
-
Yih-Dar authored
* fix * [run-slow] gemma * add test * add `test_compile_static_cache` * fix * style * remove subprocess * use attribute * fix * style * update * [run-slow] dbrx,gemma,jetmoe,phi3,recurrent_gemma --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
-
- 13 May, 2024 1 commit
-
-
Poedator authored
* 4d mask fixes * Update custom 4D mask logic * test moved to mixin * extra tests 4d mask * upd 4d mask and StaticCache handling * added Mask4DTestHard to mistral tests * post-rebase fixes * test fixes for StaticCache * make fix-copies * upd 1 after #30476 * fix common tests * rm elif attention_mask.dim() == 4: * tests combined, fixed, mixtral supported * bigbird style chg reverted * rm if attention_mask.dim() == 2 * modeling_llama formatting chg --------- Co-authored-by:Joao Gante <joao@huggingface.co>
-
- 08 May, 2024 1 commit
-
-
Joao Gante authored
-
- 30 Apr, 2024 1 commit
-
-
Joao Gante authored
-
- 23 Apr, 2024 1 commit
-
-
Arthur authored
* push legacy to fast as well * super strange * Update src/transformers/convert_slow_tokenizer.py * make sure we are BC * fix Llama test * nit * revert * more test * style * update * small update w.r.t tokenizers * nit * don't split * lol * add a test for `add_prefix_space=False` * fix gemma tokenizer as well * update * fix gemma * nicer failures * fixup * update * fix the example for legacy = False * use `huggyllama/llama-7b` for the PR doctest * nit * use from_slow * fix llama
-
- 09 Apr, 2024 1 commit
-
-
Yih-Dar authored
* fix mistral and mixtral * add pdb * fix mixtral tesst * fix * fix mistral ? * add fix gemma * fix mistral * fix * test * anoter test * fix * fix * fix mistral tests * fix them again * final fixes for mistral * fix padding right * fix whipser fa2 * fix * fix * fix gemma * test * fix llama * fix * fix * fix llama gemma * add class attribute * fix CI * clarify whisper * compute_capability * rename names in some comments * Add # fmt: skip * make style * Update tests/models/mistral/test_modeling_mistral.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * update * update --------- Co-authored-by:
Younes Belkada <younesbelkada@gmail.com> Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
-
- 05 Apr, 2024 1 commit
-
-
Michael Benayoun authored
* [WIP] fix fx * [WIP] fix fx * [WIP] fix fx * [WIP] fix fx * [WIP] fix fx * Apply changes to other models
-
- 28 Mar, 2024 2 commits
-
-
Arthur authored
[ `TokenizationLlama`] fix the way we convert tokens to strings to keep leading spaces
馃毃 breaking fix (#29453) * nit * update test and fix test * fixup -
Joao Gante authored
* add hard rope scaling test * make fixup * quick rope scaling tests * add copy statements
-
- 20 Mar, 2024 1 commit
-
-
Arthur authored
* attempt to fix * the actual fix that works with compilation! * this? * temporary update * nit? * dispatcg to memory efficient? * update both models that have static cache support * fix copies fix compile * make sure fix * fix cohere and gemma * fix beams? * nit * slipped through the cracks * nit * nits * update * fix-copies * skip failing tests * nits
-
- 19 Mar, 2024 1 commit
-
-
Arthur authored
* use user_defined_symbols * fixup * nit * add a very robust test * make sure all models are tested with the `pretrained_tokenizer_to_test` * should we make sure we test all of them? * merge * remove the id * fix test * update * ousies * oups * fixup * fix copies check * remove `pretrained_tokenizer_to_test`
-
- 13 Mar, 2024 1 commit
-
-
Lysandre Debut authored
* Adds pretrained IDs directly in the tests * Fix tests * Fix tests * Review!
-
- 01 Mar, 2024 1 commit
-
-
Marc Sun authored
-
- 29 Feb, 2024 1 commit
-
-
Younes Belkada authored
Update test_modeling_llama.py
-
- 28 Feb, 2024 1 commit
-
-
Arthur authored
* remove control flow * update gptneox * update .... * nits * Actually let's just break. Otherwise we are silently failing which imo is not optimal * version BC * fix tests * fix eager causal * nit * add a test * style * nits * nits * more nits for the test * update and fix * make sure cuda graphs are not skipped * read token is needed for meta llama * update! * fiixup * compile test should be slow * fix thet fix copies * stle 馃珷
-
- 21 Feb, 2024 1 commit
-
-
Joao Gante authored
-
- 20 Feb, 2024 1 commit
-
-
Arthur authored
* add add_dummy_prefix_space option to slow * checking kwargs might be better. Should be there for all spm tokenizer IMO * nits * fix copies * more copied * nits * add prefix space * nit * nits * Update src/transformers/convert_slow_tokenizer.py * fix inti * revert wrong styling * fix * nits * style * updates * make sure we use slow tokenizer for conversion instead of looking for the decoder * support llama ast well * update llama tokenizer fast * nits * nits nits nits * update the doc * update * update to fix tests * skip unrelated tailing test * Update src/transformers/convert_slow_tokenizer.py * add proper testing * test decode as well * more testing * format * fix llama test * Apply suggestions from code review
-
- 08 Feb, 2024 1 commit
-
-
Arthur authored
Co-authored-by:
fxmarty <9808326+fxmarty@users.noreply.github.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com>
-
- 06 Feb, 2024 1 commit
-
-
nakranivaibhav authored
* This is a test commit * testing commit * final commit with some changes * Removed copy statement * Fixed formatting issues * Fixed error added past_key_values in the forward method * Fixed a trailing whitespace. Damn the formatting rules are strict * Added the copy statement
-
- 02 Feb, 2024 1 commit
-
-
Klaus Hipp authored
* Fix typos and grammar mistakes in docs and examples * Fix typos in docstrings and comments * Fix spelling of `tokenizer` in model tests * Remove erroneous spaces in decorators * Remove extra spaces in Markdown link texts
-
- 17 Jan, 2024 2 commits
-
-
fxmarty authored
* skip bf16 test if not supported by device * fix * fix bis * use is_torch_bf16_available_on_device * use is_torch_fp16_available_on_device * fix & use public llama * use 1b model * fix flacky test --------- Co-authored-by:Your Name <you@example.com>
-
fxmarty authored
* torch.fx: add pkv, llama, sdpa support * Update src/transformers/models/opt/modeling_opt.py * remove spaces * trigger ci * use explicit variable names
-
- 08 Dec, 2023 1 commit
-
-
fxmarty authored
* add sdpa * wip * cleaning * add ref * yet more cleaning * and more :) * wip llama * working llama * add output_attentions=True support * bigcode sdpa support * fixes * gpt-bigcode support, require torch>=2.1.1 * add falcon support * fix conflicts falcon * style * fix attention_mask definition * remove output_attentions from attnmaskconverter * support whisper without removing any Copied from statement * fix mbart default to eager renaming * fix typo in falcon * fix is_causal in SDPA * check is_flash_attn_2_available in the models init as well in case the model is not initialized through from_pretrained * add warnings when falling back on the manual implementation * precise doc * wip replace _flash_attn_enabled by config.attn_implementation * fix typo * add tests * style * add a copy.deepcopy on the config in from_pretrained, as we do not want to modify it inplace * obey to config.attn_implementation if a config is passed in from_pretrained * fix is_torch_sdpa_available when torch is not installed * remove dead code * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/bart/modeling_bart.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove duplicate pretraining_tp code * add dropout in llama * precise comment on attn_mask * add fmt: off for _unmask_unattended docstring * precise num_masks comment * nuke pretraining_tp in LlamaSDPAAttention following Arthur's suggestion * cleanup modeling_utils * backward compatibility * fix style as requested * style * improve documentation * test pass * style * add _unmask_unattended tests * skip meaningless tests for idefics * hard_check SDPA requirements when specifically requested * standardize the use if XXX_ATTENTION_CLASSES * fix SDPA bug with mem-efficient backend on CUDA when using fp32 * fix test * rely on SDPA is_causal parameter to handle the causal mask in some cases * fix FALCON_ATTENTION_CLASSES * remove _flash_attn_2_enabled occurences * fix test * add OPT to the list of supported flash models * improve test * properly test on different SDPA backends, on different dtypes & properly handle separately the pad tokens in the test * remove remaining _flash_attn_2_enabled occurence * Update src/transformers/modeling_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/modeling_attn_mask_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update docs/source/en/perf_infer_gpu_one.md Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * remove use_attn_implementation * fix docstring & slight bug * make attn_implementation internal (_attn_implementation) * typos * fix tests * deprecate use_flash_attention_2=True * fix test * add back llama that was removed by mistake * fix tests * remove _flash_attn_2_enabled occurences bis * add check & test that passed attn_implementation is valid * fix falcon torchscript export * fix device of mask in tests * add tip about torch.jit.trace and move bt doc below sdpa * fix parameterized.expand order * move tests from test_modeling_attn_mask_utils to test_modeling_utils as a relevant test class is already there * update sdpaattention class with the new cache * Update src/transformers/configuration_utils.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/bark/modeling_bark.py * address review comments * WIP torch.jit.trace fix. left: test both eager & sdpa * add test for torch.jit.trace for both eager/sdpa * fix falcon with torch==2.0 that needs to use sdpa * fix doc * hopefully last fix * fix key_value_length that has no default now in mask converter * is it flacky? * fix speculative decoding bug * tests do pass * fix following #27907 --------- Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
-
- 07 Dec, 2023 2 commits
-
-
fxmarty authored
fix device of mask in tests
-
Alex McKinney authored
* Copies `modeling_flax_gpt_neo.py` to start * MLP Block. WIP Attention and Block * Adds Flax implementation of `LlamaMLP` Validated with in-file test. Some slight numeric differences, but assuming it isn't an issue * Adds `FlaxLlamaRMSNorm` layer `flax.linen` includes `RMSNorm` layer but not necessarily in all versions. Hence, we add in-file. * Adds FlaxLlamaAttention Copied from GPT-J as it has efficient caching implementation as well as rotary embeddings. Notice numerically different, but not by a huge amount. Needs investigating * Adds `FlaxLlamaDecoderLayer` numerically inaccurate, debugging.. * debugging rotary mismatch gptj uses interleaved whilst llama uses contiguous i think they match now but still final result is wrong. maybe drop back to just debugging attention layer? * fixes bug with decoder layer still somewhat numerically inaccurate, but close enough for now * adds markers for what to implement next the structure here diverges a lot from the PT version. not a big fan of it, but just get something working for now * implements `FlaxLlamaBlockCollection`] tolerance must be higher than expected, kinda disconcerting * Adds `FlaxLlamaModule` equivalent PyTorch model is `LlamaModel` yay! a language model
馃 * adds `FlaxLlamaForCausalLMModule` equivalent to `LlamaForCausalLM` still missing returning dict or tuple, will add later * start porting pretrained wrappers realised it probably needs return dict as a prereq * cleanup, quality, style * readds `return_dict` and model output named tuples * (tentatively) pretrained wrappers work馃敟 * fixes numerical mismatch in `FlaxLlamaRMSNorm` seems `jax.lax.rsqrt` does not match `torch.sqrt`. manually computing `1 / jax.numpy.sqrt` results in matching values. * [WIP] debugging numerics * numerical match I think issue was accidental change of backend. forcing CPU fixes test. We expect some mismatch on GPU. * adds in model and integration tests for Flax Llama summary of failing: - mul invalid combination of dimensions - one numerical mismatch - bf16 conversion (maybe my local backend issue) - params are not FrozenDict * adds missing TYPE_CHECKING import and `make fixup` * adds back missing docstrings needs review on quality of docstrings, not sure what is required. Furthermore, need to check if `CHECKPOINT_FOR_DOC` is valid. See TODO * commenting out equivalence test as can just use common * debugging * Fixes bug where mask and pos_ids were swapped in pretrained models This results in all tests passing now馃敟 * cleanup of modeling file * cleanup of test file * Resolving simpler review comments * addresses more minor review comments * fixing introduced pytest errors from review * wip additional slow tests * wip tests need to grab a GPU machine to get real logits for comparison otherwise, slow tests should be okay * `make quality`, `make style` * adds slow integration tests - checking logits - checking hidden states - checking generation outputs * `make fix-copies` * fix mangled function following `make fix-copies` * adds missing type checking imports * fixes missing parameter checkpoint warning * more finegrained 'Copied from' tags avoids issue of overwriting `LLAMA_INPUTS_DOCSTRING` * swaps import guards ??? how did these get swapped initially? * removing `inv_freq` again as pytorch version has now removed * attempting to get CI to pass * adds doc entries for llama flax models * fixes typo in __init__.py imports * adds back special equivalence tests these come from the gpt neo flax tests. there is special behaviour for these models that needs to override the common version * overrides tests with dummy to see if CI passes need to fill in these tests later * adds my contribution to docs * `make style; make quality` * replaces random masking with fixed to work with flax version * `make quality; make style` * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * updates `x`->`tensor` in `rotate_half` * addresses smaller review comments * Update docs/source/en/model_doc/llama.md Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * adds integration test class * adds `dtype` to rotary embedding to cast outputs * adds type to flax llama rotary layer * `make style` * `make fix-copies` * Apply suggestions from code review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * applies suggestions from review * Update modeling_flax_llama.py * `make fix-copies` * Update tests/models/llama/test_modeling_llama.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * Update src/transformers/models/llama/modeling_flax_llama.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * fixes shape mismatch in FlaxLlamaMLP * applies some suggestions from reviews * casts attn output logits to f32 regardless of dtype * adds attn bias using `LlamaConfig.attention_bias` * adds Copied From comments to Flax Llama test * mistral and persimmon test change -copy from llama * updates docs index * removes Copied from in tests it was preventing `make fix-copies` from succeeding * quality and style * ignores FlaxLlama input docstring * adds revision to `_CHECKPOINT_FOR_DOC` * repo consistency and quality * removes unused import * removes copied from from Phi test now diverges from llama tests following FlaxLlama changes * adds `_REAL_CHECKPOINT_FOR_DOC` * removes refs from pr tests * reformat to make ruff happy --------- Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
-
- 21 Nov, 2023 1 commit
-
-
fxmarty authored
* fix various bugs with flash attention * bump * fix test * fix mistral * use skiptest instead of return that may be misleading * fix on review
-
- 16 Nov, 2023 1 commit
-
-
Arthur authored
* 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>
-
- 09 Nov, 2023 1 commit
-
-
Yih-Dar authored
fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
-
- 31 Oct, 2023 1 commit
-
-
Hz, Ji authored
* device agnostic models testing * add decorator `require_torch_fp16` * make style * apply review suggestion * Oops, the fp16 decorator was misused
-
- 27 Oct, 2023 1 commit
-
-
Patrick von Platen authored
* [FA2 Bart] Add FA2 to all Bart-like * better * Refactor attention mask * remove all customized atteniton logic * format * mass rename * replace _expand_mask * replace _expand_mask * mass rename * add pt files * mass replace & rename * mass replace & rename * mass replace & rename * mass replace & rename * Update src/transformers/models/idefics/modeling_idefics.py * fix more * clean more * fix more * make style * fix again * finish * finish * finish * finish * finish * finish * finish * finish * finish * finish * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * small fix mistral * finish * finish * finish * finish --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
-
- 23 Oct, 2023 1 commit
-
-
Patrick von Platen authored
* [Attn Mask Converter] refactor attn mask * up * Apply suggestions from code review Co-authored-by:
fxmarty <9808326+fxmarty@users.noreply.github.com> * improve * rename * better cache * renaming * improve more * improve * fix bug * finalize * make style & make fix-copies * correct more * start moving attention_mask * fix llama * improve falcon * up * improve more * improve more * Update src/transformers/models/owlv2/modeling_owlv2.py * make style * make style * rename to converter * Apply suggestions from code review --------- Co-authored-by:
fxmarty <9808326+fxmarty@users.noreply.github.com>
-
- 18 Oct, 2023 1 commit
-
-
Arthur authored
* 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
馃憗 * 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>
-
- 13 Oct, 2023 1 commit
-
-
Matt authored
* Disable default system prompt for LLaMA * Update test to not expect default prompt
-
- 11 Oct, 2023 1 commit
-
-
Yih-Dar authored
* copied statement for test files --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
-