- 17 Nov, 2020 3 commits
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Lysandre Debut authored
* Tokenizers should be framework agnostic * Run the slow tests * Not testing * Fix documentation * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
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Patrick von Platen authored
* add mt5 and t5v1_1 model * fix tests * correct some imports * add tf model * finish tf t5 * improve examples * fix copies * clean doc
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Sylvain Gugger authored
* Put models in subfolders * Styling * Fix imports in tests * More fixes in test imports * Sneaky hidden imports * Fix imports in doc files * More sneaky imports * Finish fixing tests * Fix examples * Fix path for copies * More fixes for examples * Fix dummy files * More fixes for example * More model import fixes * Is this why you're unhappy GitHub? * Fix imports in conver command
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- 16 Nov, 2020 1 commit
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Sylvain Gugger authored
* Use the CI to identify failing tests * Remove from all examples and tests * More default switch * Fixes * More test fixes * More fixes * Last fixes hopefully * Use the CI to identify failing tests * Remove from all examples and tests * More default switch * Fixes * More test fixes * More fixes * Last fixes hopefully * Run on the real suite * Fix slow tests
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- 12 Nov, 2020 1 commit
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Sylvain Gugger authored
* Model sharing doc * Style
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- 11 Nov, 2020 2 commits
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Funtowicz Morgan authored
* First addition of Flax/Jax documentation Signed-off-by:
Morgan Funtowicz <morgan@huggingface.co> * make style * Ensure input order match between Bert & Roberta Signed-off-by:
Lysandre <lysandre.debut@reseau.eseo.fr>
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Ratthachat (Jung) authored
* Create modeling_tf_dpr.py * Add TFDPR * Add back TFPegasus, TFMarian, TFMBart, TFBlenderBot last commit accidentally deleted these 4 lines, so I recover them back * Add TFDPR * Add TFDPR * clean up some comments, add TF input-style doc string * Add TFDPR * Make return_dict=False as default * Fix return_dict bug (in .from_pretrained) * Add get_input_embeddings() * Create test_modeling_tf_dpr.py The current version is already passed all 27 tests! Please see the test run at : https://colab.research.google.com/drive/1czS_m9zy5k-iSJbzA_DP1k1xAAC_sdkf?usp=sharing * fix quality * delete init weights * run fix copies * fix repo consis * del config_class, load_tf_weights They shoud be 'pytorch only' * add config_class back after removing it, test failed ... so totally only removing "use_tf_weights = None" on Lysandre suggestion * newline after .. note:: * import tf, np (Necessary for ModelIntegrationTest) * slow_test from_pretrained with from_pt=True At the moment we don't have TF weights (since we don't have official official TF model) Previously, I did not run slow test, so I missed this bug * Add simple TFDPRModelIntegrationTest Note that this is just a test that TF and Pytorch gives approx. the same output. However, I could not test with the official DPR repo's output yet * upload correct tf model * remove position_ids as missing keys Co-authored-by:
patrickvonplaten <patrick@huggingface.co>
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- 10 Nov, 2020 1 commit
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Sam Shleifer authored
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- 09 Nov, 2020 2 commits
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Sam Shleifer authored
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Patrick von Platen authored
* add training tests * correct longformer * fix docs * fix some tests * fix some more train tests * remove ipdb * fix multiple edge case model training * fix funnel and prophetnet * clean gpt models * undo renaming of albert
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- 05 Nov, 2020 2 commits
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Leandro von Werra authored
Co-authored-by:Sam Shleifer <sshleifer@gmail.com>
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Guillaume Filion authored
* Output global_attentions in Longformer models * make style * small refactoring * fix tests * make fix-copies * add for tf as well * remove comments in test * make fix-copies * make style * add docs * make docstring pretty Co-authored-by:
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- 30 Oct, 2020 1 commit
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Sam Shleifer authored
* Start plumbing * Marian close * Small stubs for all children * Fixed bart * marian working * pegasus test is good, but failing * Checkin tests * More model files * Subtle marian, pegasus integration test failures * Works well * rm print * boom boom * Still failing model2doc * merge master * Equivalence test failing, all others fixed * cleanup * Fix embed_scale * Cleanup marian pipeline test * Undo extra changes * Smaller delta * Cleanup model testers * undo delta * fix tests import structure * cross test decorator * Cleaner set_weights * Respect authorized_unexpected_keys * No warnings * No warnings * style * Nest tf import * black * Apply suggestions from code review Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * functional dropout * fixup * Fixup * style_doc * embs * shape list * delete slow force_token_id_to_be_generated func * fixup Co-authored-by:
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- 28 Oct, 2020 1 commit
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Sylvain Gugger authored
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- 26 Oct, 2020 2 commits
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Sylvain Gugger authored
* Important files * Styling them all * Revert "Styling them all" This reverts commit 7d029395fdae8513b8281cbc2a6c239f8093503e. * Syling them for realsies * Fix syntax error * Fix benchmark_utils * More fixes * Fix modeling auto and script * Remove new line * Fixes * More fixes * Fix more files * Style * Add FSMT * More fixes * More fixes * More fixes * More fixes * Fixes * More fixes * More fixes * Last fixes * Make sphinx happy
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Sylvain Gugger authored
* Fixes in preparation for doc styling * More fixes * Better syntax * Fixes * Style * More fixes * More fixes
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- 21 Oct, 2020 1 commit
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Sam Shleifer authored
* half done * doc improvement * Cp test file * brokedn * broken test * undo some mess * ckpt * borked * Halfway * 6 passing * boom boom * Much progress but still 6 * boom boom * merged master * 10 passing * boom boom * Style * no t5 changes * 13 passing * Integration test failing, but not gibberish * Frustrated * Merged master * 4 fail * 4 fail * fix return_dict * boom boom * Still only 4 * prepare method * prepare method * before delete classif * Skip tests to avoid adding boilerplate * boom boom * fast tests passing * style * boom boom * Switch to supporting many input types * remove FIXMENORM * working * Fixed past_key_values/decoder_cached_states confusion * new broken test * Fix attention mask kwarg name * undo accidental * Style and reviewers * style * Docs and common tests * Cleaner assert messages * copy docs * style issues * Sphinx fix * Simplify caching logic * test does not require torch * copy _NoLayerEmbedTokens * Update src/transformers/modeling_tf_bart.py Co-authored-by:
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- 19 Oct, 2020 3 commits
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Patrick von Platen authored
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Quentin Lhoest authored
* add CustomHFIndex * typo in config * update tests * add custom dataset example * clean script * update test data * minor in test * docs * docs * style * fix imports * allow to pass the indexed dataset directly * update tests * use multiset DPR * address thom and patrick's comments * style * update dpr tokenizer * add output_dir flag in use_own_knowledge_dataset.py * allow custom datasets in examples/rag/finetune.py * add test for custom dataset in distributed rag retriever
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Weizhen authored
* add new model prophetnet prophetnet modified modify codes as suggested v1 add prophetnet test files * still bugs, because of changed output formats of encoder and decoder * move prophetnet into the latest version * clean integration tests * clean tokenizers * add xlm config to init * correct typo in init * further refactoring * continue refactor * save parallel * add decoder_attention_mask * fix use_cache vs. past_key_values * fix common tests * change decoder output logits * fix xlm tests * make common tests pass * change model architecture * add tokenizer tests * finalize model structure * no weight mapping * correct n-gram stream attention mask as discussed with qweizhen * remove unused import * fix index.rst * fix tests * delete unnecessary code * add fast integration test * rename weights * final weight remapping * save intermediate * Descriptions for Prophetnet Config File * finish all models * finish new model outputs * delete unnecessary files * refactor encoder layer * add dummy docs * code quality * fix tests * add model pages to doctree * further refactor * more refactor, more tests * finish code refactor and tests * remove unnecessary files * further clean up * add docstring template * finish tokenizer doc * finish prophetnet * fix copies * fix typos * fix tf tests * fix fp16 * fix tf test 2nd try * fix code quality * add test for each model * merge new tests to branch * Update model_cards/microsoft/prophetnet-large-uncased-cnndm/README.md Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update README.md Co-authored-by:
weizhen <weizhen@mail.ustc.edu.cn> Co-authored-by:
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- 13 Oct, 2020 1 commit
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Felipe Curti authored
* Add Documentation for GPT-1 Classification * Add GPT-1 with Classification head * Add tests for GPT-1 Classification * Add GPT-1 For Classification to auto models * Remove authorized missing keys, change checkpoint to openai-gpt
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- 09 Oct, 2020 1 commit
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Sylvain Gugger authored
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- 08 Oct, 2020 1 commit
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Thomas Wolf authored
Adding Fast tokenizers for SentencePiece based tokenizers - Breaking: remove Transfo-XL fast tokenizer (#7141) * [WIP] SP tokenizers * fixing tests for T5 * WIP tokenizers * serialization * update T5 * WIP T5 tokenization * slow to fast conversion script * Refactoring to move tokenzier implementations inside transformers * Adding gpt - refactoring - quality * WIP adding several tokenizers to the fast world * WIP Roberta - moving implementations * update to dev4 switch file loading to in-memory loading * Updating and fixing * advancing on the tokenizers - updating do_lower_case * style and quality * moving forward with tokenizers conversion and tests * MBart, T5 * dumping the fast version of transformer XL * Adding to autotokenizers + style/quality * update init and space_between_special_tokens * style and quality * bump up tokenizers version * add protobuf * fix pickle Bert JP with Mecab * fix newly added tokenizers * style and quality * fix bert japanese * fix funnel * limite tokenizer warning to one occurence * clean up file * fix new tokenizers * fast tokenizers deep tests * WIP adding all the special fast tests on the new fast tokenizers * quick fix * adding more fast tokenizers in the fast tests * all tokenizers in fast version tested * Adding BertGenerationFast * bump up setup.py for CI * remove BertGenerationFast (too early) * bump up tokenizers version * Clean old docstrings * Typo * Update following Lysandre comments Co-authored-by:Sylvain Gugger <sylvain.gugger@gmail.com>
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- 07 Oct, 2020 1 commit
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Sam Shleifer authored
Co-authored-by:
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- 06 Oct, 2020 2 commits
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Lysandre Debut authored
* Add GPT2ForSequenceClassification based on DialogRPT * Better documentation * Code quality
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Lysandre Debut authored
* Configuration * Modeling * Tokenization * Obliterate the trailing spaces * From underlines to long underlines
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- 05 Oct, 2020 2 commits
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Forrest Iandola authored
* configuration_squeezebert.py thin wrapper around bert tokenizer fix typos wip sb model code wip modeling_squeezebert.py. Next step is to get the multi-layer-output interface working set up squeezebert to use BertModelOutput when returning results. squeezebert documentation formatting allow head mask that is an array of [None, ..., None] docs docs cont'd path to vocab docs and pointers to cloud files (WIP) line length and indentation squeezebert model cards formatting of model cards untrack modeling_squeezebert_scratchpad.py update aws paths to vocab and config files get rid of stub of NSP code, and advise users to pretrain with mlm only fix rebase issues redo rebase of modeling_auto.py fix issues with code formatting more code format auto-fixes move squeezebert before bert in tokenization_auto.py and modeling_auto.py because squeezebert inherits from bert tests for squeezebert modeling and tokenization fix typo move squeezebert before bert in modeling_auto.py to fix inheritance problem disable test_head_masking, since squeezebert doesn't yet implement head masking fix issues exposed by the test_modeling_squeezebert.py fix an issue exposed by test_tokenization_squeezebert.py fix issue exposed by test_modeling_squeezebert.py auto generated code style improvement issue that we inherited from modeling_xxx.py: SqueezeBertForMaskedLM.forward() calls self.cls(), but there is no self.cls, and I think the goal was actually to call self.lm_head() update copyright resolve failing 'test_hidden_states_output' and remove unused encoder_hidden_states and encoder_attention_mask docs add integration test. rename squeezebert-mnli --> squeezebert/squeezebert-mnli autogenerated formatting tweaks integrate feedback from patrickvonplaten and sgugger to programming style and documentation strings * tiny change to order of imports
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Sylvain Gugger authored
* Cleanup documentation for BART, Marian, MBART and Pegasus * Cleanup documentation for BART, Marian, MBART and Pegasus
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- 01 Oct, 2020 1 commit
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Alexandr authored
Co-authored-by:Alexandr Maslov <avmaslov3@gmail.com>
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- 30 Sep, 2020 1 commit
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Pengcheng He authored
* Add DeBERTa model * Remove dependency of deberta * Address comments * Patch DeBERTa Documentation Style * Add final tests * Style * Enable tests + nitpicks * position IDs * BERT -> DeBERTa * Quality * Style * Tokenization * Last updates. * @patrickvonplaten's comments * Not everything can be a copy * Apply most of @sgugger's review Co-authored-by:
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- 28 Sep, 2020 1 commit
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Sylvain Gugger authored
Do not merge before Monday
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- 24 Sep, 2020 2 commits
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Sylvain Gugger authored
* Remove mentions of RAG from the docs * Deactivate check
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Sylvain Gugger authored
* Clean RAG docs and template docs * Fix typo * Better doc
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- 23 Sep, 2020 1 commit
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Sylvain Gugger authored
* Clean up model documentation * Formatting * Preparation work * Long lines * Main work on rst files * Cleanup all config files * Syntax fix * Clean all tokenizers * Work on first models * Models beginning * FaluBERT * All PyTorch models * All models * Long lines again * Fixes * More fixes * Update docs/source/model_doc/bert.rst Co-authored-by:
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- 22 Sep, 2020 2 commits
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Ola Piktus authored
* added rag WIP * path fix * Formatting / renaming prior to actual work * added rag WIP * path fix * Formatting / renaming prior to actual work * added rag WIP * path fix * Formatting / renaming prior to actual work * added rag WIP * Formatting / renaming prior to actual work * First commit * improve comments * Retrieval evaluation scripts * refactor to include modeling outputs + MPI retriever * Fix rag-token model + refactor * Various fixes + finetuning logic * use_bos fix * Retrieval refactor * Finetuning refactoring and cleanup * Add documentation and cleanup * Remove set_up_rag_env.sh file * Fix retrieval wit HF index * Fix import errors * Fix quality errors * Refactor as per suggestions in https://github.com/huggingface/transformers/pull/6813#issuecomment-687208867 * fix quality * Fix RAG Sequence generation * minor cleanup plus initial tests * fix test * fix tests 2 * Comments fix * post-merge fixes * Improve readme + post-rebase refactor * Extra dependencied for tests * Fix tests * Fix tests 2 * Refactor test requirements * Fix tests 3 * Post-rebase refactor * rename nlp->datasets * RAG integration tests * add tokenizer to slow integration test and allow retriever to run on cpu * add tests; fix position ids warning * change structure * change structure * add from encoder generator * save working solution * make all integration tests pass * add RagTokenizer.save/from_pretrained and RagRetriever.save/from_pretrained * don't save paths * delete unnecessary imports * pass config to AutoTokenizer.from_pretrained for Rag tokenizers * init wiki_dpr only once * hardcode legacy index and passages paths (todo: add the right urls) * finalize config * finalize retriver api and config api * LegacyIndex index download refactor * add dpr to autotokenizer * make from pretrained more flexible * fix ragfortokengeneration * small name changes in tokenizer * add labels to models * change default index name * add retrieval tests * finish token generate * align test with previous version and make all tests pass * add tests * finalize tests * implement thoms suggestions * add first version of test * make first tests work * make retriever platform agnostic * naming * style * add legacy index URL * docstrings + simple retrieval test for distributed * clean model api * add doc_ids to retriever's outputs * fix retrieval tests * finish model outputs * finalize model api * fix generate problem for rag * fix generate for other modles * fix some tests * save intermediate * set generate to default * big refactor generate * delete rag_api * correct pip faiss install * fix auto tokenization test * fix faiss install * fix test * move the distributed logic to examples * model page * docs * finish tests * fix dependencies * fix import in __init__ * Refactor eval_rag and finetune scripts * start docstring * add psutil to test * fix tf test * move require torch to top * fix retrieval test * align naming * finish automodel * fix repo consistency * test ragtokenizer save/load * add rag model output docs * fix ragtokenizer save/load from pretrained * fix tokenizer dir * remove torch in retrieval * fix docs * fixe finetune scripts * finish model docs * finish docs * remove auto model for now * add require torch * remove solved todos * integrate sylvains suggestions * sams comments * correct mistake on purpose * improve README * Add generation test cases * fix rag token * clean token generate * fix test * add note to test * fix attention mask * add t5 test for rag * Fix handling prefix in finetune.py * don't overwrite index_name Co-authored-by:
Patrick Lewis <plewis@fb.com> Co-authored-by:
Aleksandra Piktus <piktus@devfair0141.h2.fair> Co-authored-by:
Aleksandra Piktus <piktus@learnfair5102.h2.fair> Co-authored-by:
Aleksandra Piktus <piktus@learnfair5067.h2.fair> Co-authored-by:
Your Name <you@example.com> Co-authored-by:
Quentin Lhoest <lhoest.q@gmail.com>
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Minghao Li authored
* first version * finish test docs readme model/config/tokenization class * apply make style and make quality * fix layoutlm GitHub link * fix conflict in index.rst and add layoutlm to pretrained_models.rst * fix bug in test_parents_and_children_in_mappings * reformat modeling_auto.py and tokenization_auto.py * fix bug in test_modeling_layoutlm.py * Update docs/source/model_doc/layoutlm.rst Co-authored-by:
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- 17 Sep, 2020 1 commit
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Stas Bekman authored
* ready for PR * cleanup * correct FSMT_PRETRAINED_MODEL_ARCHIVE_LIST * fix * perfectionism * revert change from another PR * odd, already committed this one * non-interactive upload workaround * backup the failed experiment * store langs in config * workaround for localizing model path * doc clean up as in https://github.com/huggingface/transformers/pull/6956 * style * back out debug mode * document: run_eval.py --num_beams 10 * remove unneeded constant * typo * re-use bart's Attention * re-use EncoderLayer, DecoderLayer from bart * refactor * send to cuda and fp16 * cleanup * revert (moved to another PR) * better error message * document run_eval --num_beams * solve the problem of tokenizer finding the right files when model is local * polish, remove hardcoded config * add a note that the file is autogenerated to avoid losing changes * prep for org change, remove unneeded code * switch to model4.pt, update scores * s/python/bash/ * missing init (but doesn't impact the finetuned model) * cleanup * major refactor (reuse-bart) * new model, new expected weights * cleanup * cleanup * full link * fix model type * merge porting notes * style * cleanup * have to create a DecoderConfig object to handle vocab_size properly * doc fix * add note (not a public class) * parametrize * - add bleu scores integration tests * skip test if sacrebleu is not installed * cache heavy models/tokenizers * some tweaks * remove tokens that aren't used * more purging * simplify code * switch to using decoder_start_token_id * add doc * Revert "major refactor (reuse-bart)" This reverts commit 226dad15ca6a9ef4e26178526e878e8fc5c85874. * decouple from bart * remove unused code #1 * remove unused code #2 * remove unused code #3 * update instructions * clean up * move bleu eval to examples * check import only once * move data+gen script into files * reuse via import * take less space * add prepare_seq2seq_batch (auto-tested) * cleanup * recode test to use json instead of yaml * ignore keys not needed * use the new -y in transformers-cli upload -y * [xlm tok] config dict: fix str into int to match definition (#7034) * [s2s] --eval_max_generate_length (#7018) * Fix CI with change of name of nlp (#7054) * nlp -> datasets * More nlp -> datasets * Woopsie * More nlp -> datasets * One last * extending to support allen_nlp wmt models - allow a specific checkpoint file to be passed - more arg settings - scripts for allen_nlp models * sync with changes * s/fsmt-wmt/wmt/ in model names * s/fsmt-wmt/wmt/ in model names (p2) * s/fsmt-wmt/wmt/ in model names (p3) * switch to a better checkpoint * typo * make non-optional args such - adjust tests where possible or skip when there is no other choice * consistency * style * adjust header * cards moved (model rename) * use best custom hparams * update info * remove old cards * cleanup * s/stas/facebook/ * update scores * s/allen_nlp/allenai/ * url maps aren't needed * typo * move all the doc / build /eval generators to their own scripts * cleanup * Apply suggestions from code review Co-authored-by:
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- 14 Sep, 2020 3 commits
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sgugger authored
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Sylvain Gugger authored
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Bartosz Telenczuk authored
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