- 28 Oct, 2021 1 commit
-
-
NielsRogge authored
* First draft * Make style & quality * Improve conversion script * Add print statement to see actual slice * Make absolute tolerance smaller * Fix image classification models * Add post_process_semantic method * Disable padding * Improve conversion script * Rename to ForSemanticSegmentation, add integration test, remove post_process methods * Improve docs * Fix code quality * Fix feature extractor tests * Fix tests for image classification model * Delete file * Add is_torch_available to feature extractor * Improve documentation of feature extractor methods * Apply suggestions from @sgugger's code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply some more suggestions of code review * Rebase with master * Fix rebase issues * Make sure model only outputs hidden states when the user wants to * Apply suggestions from code review * Add pad method * Support padding of 2d images * Add print statement * Add print statement * Move padding method to SegformerFeatureExtractor * Fix issue * Add casting of segmentation maps * Add test for padding * Add small note about padding Co-authored-by:
-
- 26 Oct, 2021 1 commit
-
-
Yih-Dar authored
* Add vision_encoder_decoder * Update _ignore_modules in get_model_modules() Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
-
- 15 Oct, 2021 1 commit
-
-
Anton Lozhkov authored
* Working encoder * SEW-D and tests * Further conv fixes * Automodels and conv inits * Update integration tests, add docs * Docs cleanup, resolve todos * Conf fix * Fix docs * Fix tests, apply suggestions * Update src/transformers/models/sew/modeling_sew.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Model conversion and updated no-mask tests * Remove copy of feature_proj * Style * Update src/transformers/models/auto/feature_extraction_auto.py Co-authored-by:
-
- 12 Oct, 2021 1 commit
-
-
Yih-Dar authored
* Add cross attentions to TFGPT2Model * Add TFEncoderDecoderModel * Add TFBaseModelOutputWithPoolingAndCrossAttentions * Add cross attentions to TFBertModel * Fix past or past_key_values argument issue * Fix generation * Fix save and load * Add some checks and comments * Clean the code that deals with past keys/values * Add kwargs to processing_inputs * Add serving_output to TFEncoderDecoderModel * Some cleaning + fix use_cache value issue * Fix tests + add bert2bert/bert2gpt2 tests * Fix more tests * Ignore crossattention.bias when loading GPT2 weights into TFGPT2 * Fix return_dict_in_generate in tf generation * Fix is_token_logit_eos_token bug in tf generation * Finalize the tests after fixing some bugs * Fix another is_token_logit_eos_token bug in tf generation * Add/Update docs * Add TFBertEncoderDecoderModelTest * Clean test script * Add TFEncoderDecoderModel to the library * Add cross attentions to TFRobertaModel * Add TFRobertaEncoderDecoderModelTest * make style * Change the way of position_ids computation * bug fix * Fix copies in tf_albert * Remove some copied from and apply some fix-copies * Remove some copied * Add cross attentions to some other TF models * Remove encoder_hidden_states from TFLayoutLMModel.call for now * Make style * Fix TFRemBertForCausalLM * Revert the change to longformer + Remove copies * Revert the change to albert and convbert + Remove copies * make quality * make style * Add TFRembertEncoderDecoderModelTest * make quality and fix-copies * test TFRobertaForCausalLM * Fixes for failed tests * Fixes for failed tests * fix more tests * Fixes for failed tests * Fix Auto mapping order * Fix TFRemBertEncoder return value * fix tf_rembert * Check copies are OK * Fix missing TFBaseModelOutputWithPastAndCrossAttentions is not defined * Add TFEncoderDecoderModelSaveLoadTests * fix tf weight loading * check the change of use_cache * Revert the change * Add missing test_for_causal_lm for TFRobertaModelTest * Try cleaning past * fix _reorder_cache * Revert some files to original versions * Keep as many copies as possible * Apply suggested changes - Use raise ValueError instead of assert * Move import to top * Fix wrong require_torch * Replace more assert by raise ValueError * Add test_pt_tf_model_equivalence (the test won't pass for now) * add test for loading/saving * finish * finish * Remove test_pt_tf_model_equivalence * Update tf modeling template * Remove pooling, added in the prev. commit, from MainLayer * Update tf modeling test template * Move inputs["use_cache"] = False to modeling_tf_utils.py * Fix torch.Tensor in the comment * fix use_cache * Fix missing use_cache in ElectraConfig * Add a note to from_pretrained * Fix style * Change test_encoder_decoder_save_load_from_encoder_decoder_from_pt * Fix TFMLP (in TFGPT2) activation issue * Fix None past_key_values value in serving_output * Don't call get_encoderdecoder_model in TFEncoderDecoderModelTest.test_configuration_tie until we have a TF checkpoint on Hub * Apply review suggestions - style for cross_attns in serving_output * Apply review suggestions - change assert + docstrings * break the error message to respect the char limit * deprecate the argument past * fix docstring style * Update the encoder-decoder rst file * fix Unknown interpreted text role "method" * fix typo Co-authored-by:
-
- 21 Sep, 2021 1 commit
-
-
Kamal Raj authored
* beit-flax * updated FLAX_BEIT_MLM_DOCSTRING * removed bool_masked_pos from classification * updated Copyright * code refactoring: x -> embeddings * updated test: rm from_pt * Update docs/source/model_doc/beit.rst * model code dtype updates and other changes according to review * relative_position_bias revert back to pytorch design
-
- 01 Sep, 2021 1 commit
-
-
Anton Lozhkov authored
* Add the audio classification pipeline * Remove autoconfig exception * Mark ffmpeg test as slow * Rearrange pipeline tests * Add small test * Replace asserts with ValueError
-
- 27 Aug, 2021 1 commit
-
-
Anton Lozhkov authored
* Add hubert classifier + tests * Add hubert classifier + tests * Dummies for all classification tests * Wav2Vec2 classifier + ER test * Fix hubert integration tests * Add hubert IC * Pass tests for all classification tasks on Hubert * Pass all tests + copies * Move models to the SUPERB org
-
- 23 Aug, 2021 1 commit
-
-
Yih-Dar authored
* make flax gpt2 working with cross attention * Remove encoder->decoder projection layer * A draft (incomplete) for FlaxEncoderDecoderModel * Add the method from_encoder_decoder_pretrained + the docstrings * Fix the mistakes of using EncoderDecoderModel * Fix style * Add FlaxEncoderDecoderModel to the library * Fix cyclic imports * Add FlaxEncoderDecoderModel to modeling_flax_auto.py * Remove question comments * add tests for FlaxEncoderDecoderModel * add flax_encoder_decoder to the lists of ignored entries in check_repo.py * fix missing required positional arguments * Remove **kwargs when creating FlaxEncoderDecoderModel in from_encoder_decoder_pretrained() Also fix generation eos/pad tokens issue * Fix: Use sequences from the generated_output * Change a check from assert to raise ValueError * Fix examples and token ids issues * Fix missing all_cross_attentions when outputting tuple in modeling_gpt2 * Remove the changes in configuration docstrings. * allow for bert 2 gpt2 * make fix-copies * Apply suggestions from code review Co-authored-by:
ydshieh <ydshieh@user.noreply> Co-authored-by:
-
- 06 Aug, 2021 1 commit
-
-
Sylvain Gugger authored
* Initial work * All auto models * All tf auto models * All flax auto models * Tokenizers * Add feature extractors * Fix typos * Fix other typo * Use the right config * Remove old mapping names and update logic in AutoTokenizer * Update check_table * Fix copies and check_repo script * Fix last test * Add back name * clean up * Update template * Update template * Forgot a ) * Use alternative to fixup * Fix TF model template * Address review comments * Address review comments * Style
-
- 04 Aug, 2021 2 commits
-
-
NielsRogge authored
* First pass * Make conversion script work * Improve conversion script * Fix bug, conversion script working * Improve conversion script, implement BEiTFeatureExtractor * Make conversion script work based on URL * Improve conversion script * Add tests, add documentation * Fix bug in conversion script * Fix another bug * Add support for converting masked image modeling model * Add support for converting masked image modeling * Fix bug * Add print statement for debugging * Fix another bug * Make conversion script finally work for masked image modeling models * Move id2label for datasets to JSON files on the hub * Make sure id's are read in as integers * Add integration tests * Make style & quality * Fix test, add BEiT to README * Apply suggestions from @sgugger's review * Apply suggestions from code review * Make quality * Replace nielsr by microsoft in tests, add docs * Rename BEiT to Beit * Minor fix * Fix docs of BeitForMaskedImageModeling Co-authored-by: -
Patrick von Platen authored
* finish PR * finish mt5 * push * up * Update tests/test_modeling_flax_mt5.py Co-authored-by:
Suraj Patil <surajp815@gmail.com> Co-authored-by:
-
- 09 Jul, 2021 1 commit
-
-
Will Rice authored
* TFHubert * Update with TFWav2Vec Bug Fixes * Add OOV Error * Feedback changes * Fix kwargs call
-
- 30 Jun, 2021 1 commit
-
-
Patrick von Platen authored
* fix_torch_device_generate_test * remove @ * start flax wav2vec2 * save intermediate * forward pass has correct shape * add weight norm * add files * finish ctc * make style * finish gumbel quantizer * correct docstrings * correct some more files * fix vit * finish quality * correct tests * correct docstring * correct tests * start wav2vec2 pretraining script * save intermediate * start pretraining script * finalize pretraining script * finish * finish * small typo * finish * correct * Apply suggestions from code review Co-authored-by:
-
- 23 Jun, 2021 1 commit
-
-
Sylvain Gugger authored
* Add all XxxPreTrainedModel to the main init * Add to template * Add to template bis * Add FlaxT5
-
- 16 Jun, 2021 1 commit
-
-
Patrick von Platen authored
* fix_torch_device_generate_test * remove @ * add hubert * add first test file * more docs * fix bugs * fix bug * finish * finish * finish docstring * fix * fix * finalize * add to ignored * finish * Apply suggestions from code review * correct naming * finish * fix auto config * finish * correct convert script * Apply suggestions from code review Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> Co-authored-by:
-
- 14 Jun, 2021 1 commit
-
-
Will Rice authored
* [WIP] Add TFWav2Vec2Model Work in progress for adding a tensorflow version of Wav2Vec2 * feedback changes * small fix * Test Feedback Round 1 * Add SpecAugment and CTC Loss * correct spec augment mask creation * docstring and correct copyright * correct bugs * remove bogus file * finish tests correction * del unnecessary layers * Update src/transformers/models/wav2vec2/modeling_tf_wav2vec2.py Co-authored-by:
-
- 09 Jun, 2021 1 commit
-
-
NielsRogge authored
* Squash all commits of modeling_detr_v7 branch into one * Improve docs * Fix tests * Style * Improve docs some more and fix most tests * Fix slow tests of ViT, DeiT and DETR * Improve replacement of batch norm * Restructure timm backbone forward * Make DetrForSegmentation support any timm backbone * Fix name of output * Address most comments by @LysandreJik * Give better names for variables * Conditional imports + timm in setup.py * Address additional comments by @sgugger * Make style, add require_timm and require_vision to tests茅 * Remove train_backbone attribute of DetrConfig, add methods to freeze/unfreeze backbone * Add png files to fixtures * Fix type hint * Add timm to workflows * Add `BatchNorm2d` to the weight initialization * Fix retain_grad test * Replace model checkpoints by Facebook namespace * Fix name of checkpoint in test * Add user-friendly message when scipy is not available * Address most comments by @patrickvonplaten * Remove return_intermediate_layers attribute of DetrConfig and simplify Joiner * Better initialization * Scipy is necessary to get sklearn metrics * Rename TimmBackbone to DetrTimmConvEncoder and rename DetrJoiner to DetrConvModel * Make style * Improve docs and add 2 community notebooks Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
-
- 02 Jun, 2021 1 commit
-
-
Gunjan Chhablani authored
* Init VisualBERT * Add cookie-cutter, Config, and Embeddings * Add preliminary Model * Add Bert analogous classes * Add basic code for NLVR, VQA, Flickr * Update Init * Fix VisualBert Downstream Models * Rename classifier to cls * Comment position_ids buffer * Remove sentence image predictor output * Update output dicts * Remove unnecessary files * Fix Auto Modeling * Fix transformers init * Add conversion script * Add conversion script * Fix docs * Update visualbert modelling * Update configuration * Style fixes * Add model and integration tests * Add all tests * Update model mapping * Add simple detector from original repository * Update docs and configs * Fix style * Fix style * Update docs * Fix style * Fix import issues in style * Fix style * Add changes from review * Fix style * Fix style * Update docs * Fix style * Fix style * Update docs/source/model_doc/visual_bert.rst Co-authored-by:
-
- 01 Jun, 2021 1 commit
-
-
Suraj Patil authored
* add flax CLIP * default input_shape * add tests * fix test * fix name * fix docs * fix shapes * attend at least 1 token * flax conv to torch conv * return floats * fix equivalence tests * fix import * return attention_weights and update tests * fix dosctrings * address patricks comments * input_shape arg * add tests for get_image_features and get_text_features methods * fix tests
-
- 12 May, 2021 1 commit
-
-
Suraj Patil authored
* begin second draft * fix import, style * add loss * fix embeds, logits_scale, and projection * fix imports * add conversion script * add feature_extractor and processor * style * add tests for tokenizer, extractor and processor * add vision model tests * add weight init * add more tests * fix save_load test * model output, dosstrings, causal mask * config doc * add clip model tests * return dict * bigin integration test * add integration tests * fix-copies * fix init * Clip => CLIP * fix module name * docs * fix doc * output_dim => projection_dim * fix checkpoint names * remoe fast tokenizer file * fix conversion script * fix tests, quality * put causal mask on device * Apply suggestions from code review Co-authored-by:
-
- 07 May, 2021 1 commit
-
-
Vasudev Gupta authored
* init bigbird pegasus * add debugging nb ; update config * init conversion * update conversion script * complete conversion script * init forward() * complete forward() * add tokenizer * add some slow tests * commit current * fix copies * add docs * add conversion script for bigbird-roberta-summarization * remove TODO * small fixups * correct tokenizer * add bigbird core for now * fix config * fix more * revert pegasus-tokenizer back * make style * everything working for pubmed; yayygit status * complete tests finally * remove bigbird pegasus tok * correct tokenizer * correct tests * add tokenizer files * finish make style * fix test * update * make style * fix tok utils base file * make fix-copies * clean a bit * small update * fix some suggestions * add to readme * fix a bit, clean tests * fix more tests * Update src/transformers/__init__.py * Update src/transformers/__init__.py * make fix-copies * complete attn switching, auto-padding left * make style * fix auto-padding test * make style * fix batched attention tests * put tolerance at 1e-1 for stand-alone decoder test * fix docs * fix tests * correct slow tokenizer conversion * Apply suggestions from code review Co-authored-by:
-
- 04 May, 2021 1 commit
-
-
Sylvain Gugger authored
* Make quality scripts work when one backend is missing. * Check env variable is properly set * Add default * With print statements * Fix typo * Set env variable * Remove debug code
-
- 03 May, 2021 1 commit
-
-
NielsRogge authored
* Rebase with master * Minor bug fix in docs * Copy files from adding_luke_v2 and improve docs * change the default value of use_entity_aware_attention to True * remove word_hidden_states * fix head models * fix tests * fix the conversion script * add integration tests for the pretrained large model * improve docstring * Improve docs, make style * fix _init_weights for pytorch 1.8 * improve docs * fix tokenizer to construct entity sequence with [MASK] entity when entities=None * Make fix-copies * Make style & quality * Bug fixes * Add LukeTokenizer to init * Address most comments by @patil-suraj and @LysandreJik * rename _compute_extended_attention_mask to get_extended_attention_mask * add comments to LukeSelfAttention * fix the documentation of the tokenizer * address comments by @patil-suraj, @LysandreJik, and @sgugger * improve docs * Make style, quality and fix-copies * Improve docs * fix docs * add "entity_span_classification" task * update example code for LukeForEntitySpanClassification * improve docs * improve docs * improve the code example in luke.rst * rename the classification layer in LukeForEntityClassification from typing to classifier * add bias to the classifier in LukeForEntitySpanClassification * update docs to use fine-tuned hub models in code examples of the head models * update the example sentences * Make style & quality * Add require_torch to tokenizer tests * Add require_torch to tokenizer tests * Address comments by @sgugger and add community notebooks * Make fix-copies Co-authored-by:Ikuya Yamada <ikuya@ikuya.net>
-
- 26 Apr, 2021 1 commit
-
-
Patrick von Platen authored
-
- 13 Apr, 2021 1 commit
-
-
Sylvain Gugger authored
-
- 08 Apr, 2021 2 commits
-
-
Sylvain Gugger authored
* Add support for multiple models for one config in auto classes * Use get_values everywhere * Prettier doc
-
Julien Demouth authored
* Add support for NVIDIA Megatron models * Add support for NVIDIA Megatron GPT2 and BERT Add the megatron_gpt2 model. That model reuses the existing GPT2 model. This commit includes a script to convert a Megatron-GPT2 checkpoint downloaded from NVIDIA GPU Cloud. See examples/megatron-models/README.md for details. Add the megatron_bert model. That model is implemented as a modification of the existing BERT model in Transformers. This commit includes a script to convert a Megatron-BERT checkpoint downloaded from NVIDIA GPU Cloud. See examples/megatron-models/README.md for details. * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by:
Julien Demouth <jdemouth@nvidia.com> Co-authored-by:
-
- 07 Apr, 2021 1 commit
-
-
Sylvain Gugger authored
-
- 10 Mar, 2021 1 commit
-
-
Suraj Patil authored
* s2t * fix config * conversion script * fix import * add tokenizer * fix tok init * fix tokenizer * first version working * fix embeds * fix lm head * remove extra heads * fix convert script * handle encoder attn mask * style * better enc attn mask * override _prepare_attention_mask_for_generation * handle attn_maks in encoder and decoder * input_ids => input_features * enable use_cache * remove old code * expand embeddings if needed * remove logits bias * masked_lm_loss => loss * hack tokenizer to support feature processing * fix model_input_names * style * fix error message * doc * remove inputs_embeds * remove input_embeds * remove unnecessary docstring * quality * SpeechToText => Speech2Text * style * remove shared_embeds * subsample => conv * remove Speech2TextTransformerDecoderWrapper * update output_lengths formula * fix table * remove max_position_embeddings * update conversion scripts * add possibility to do upper case for now * add FeatureExtractor and Processor * add tests for extractor * require_torch_audio => require_torchaudio * add processor test * update import * remove classification head * attention mask is now 1D * update docstrings * attention mask should be of type long * handle attention mask from generate * alwyas return attention_mask * fix test * style * doc * Speech2TextTransformer => Speech2Text * Speech2TextTransformerConfig => Speech2TextConfig * remove dummy_inputs * nit * style * multilinguial tok * fix tokenizer * add tgt_lang setter * save lang_codes * fix tokenizer * add forced_bos_token_id to tokenizer * apply review suggestions * add torchaudio to extra deps * add speech deps to CI * fix dep * add libsndfile to ci * libsndfile1 * add speech to extras all * libsndfile1 -> libsndfile1 * libsndfile * libsndfile1-dev * apt update * add sudo to install * update deps table * install libsndfile1-dev on CI * tuple to list * init conv layer * add model tests * quality * add integration tests * skip_special_tokens * add speech_to_text_transformer in toctree * fix tokenizer * fix fp16 tests * add tokenizer tests * fix copyright * input_values => input_features * doc * add model in readme * doc * change checkpoint names * fix copyright * fix code example * add max_model_input_sizes in tokenizer * fix integration tests * add do_lower_case to tokenizer * remove clamp trick * fix "Add modeling imports here" * fix copyrights * fix tests * SpeechToTextTransformer => SpeechToText * fix naming * fix table formatting * fix typo * style * fix typos * remove speech dep from extras[testing] * fix copies * rename doc file, * put imports under is_torch_available * run feat extract tests when torch is available * dummy objects for processor and extractor * fix imports in tests * fix import in modeling test * fxi imports * fix torch import * fix imports again * fix positional embeddings * fix typo in import * adapt new extractor refactor * style * fix torchscript test * doc * doc * Apply suggestions from code review Co-authored-by:
-
- 08 Mar, 2021 1 commit
-
-
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 * create modeling_tf_rag * add tests for tf * add tf tests * revert wrong pt commit * further refactor * further refactor * refactor * Update modeling_tf_rag.py - input_processing - fix prepare_input_for_generation (mostly fix generate bug) - bring back from_pretrained hack in order to test generate * delete colab pieces of code * Show case of greedy "generate" Temporarily change from beam_search test to greedy_search test to show case that TF and PT do get equivalent output. * cosmetic update * correct typos * update * push some progress * make easy check * fix rag save from pretrained * Update src/transformers/modeling_tf_utils.py * remove commented out lines * delete unnecessary lines * add simple test case for nq_checkpoint Add nq_checkpoint test to show that current version without hack still fails * temporarily put ugly hack back again * Add TFRagSequenceForGeneration!! * __init__.py , import TFRagSequenceForGeneration * Add TFRagSequence tests! * rag init.py - add TFRagSequenceForGeneration * fix from_pretrained * fix prepare_inputs_for_generation * Beam search for RagToken! * minor clean up * add tf.cast in TFRagModel * More tf.cast * Add all remaining tests (still have issues) * delete all T5 related * make style * fix load weight prefix * fix bart * fix return_dict for tf_rag make all tests pass .. Hooray * fix some tests * fix code quality * fix qualtiy check * finish tests tf rag * add tf rag to docs * remove TFT5 from docstring Co-authored-by:
Julien Plu <plu.julien@gmail.com> * axis=[1]->axis=1 * delete NEED_HELP comment * improve readability Co-authored-by:
patrickvonplaten <patrick@huggingface.co> Co-authored-by:
-
- 06 Mar, 2021 1 commit
-
-
Suraj Patil authored
* m2m_100 * no layernorm_embedding * sinusoidal positional embeddings * update pos embeddings * add default config values * tokenizer * add conversion script * fix config * fix pos embed * remove _float_tensor * update tokenizer * update lang codes * handle lang codes * fix pos embeds * fix spm key * put embedding weights on device * remove qa and seq classification heads * fix convert script * lang codes pn one line * fix embeds * fix tokenizer * fix tokenizer * add fast tokenizer * style * M2M100MT => M2M100 * fix copyright, style * tokenizer converter * vocab file * remove fast tokenizer * fix embeds * fix tokenizer * fix tests * add tokenizer tests * add integration test * quality * fix model name * fix test * doc * doc * fix doc * add copied from statements * fix tokenizer tests * apply review suggestions * fix urls * fix shift_tokens_right * apply review suggestions * fix * fix doc * add lang code to id * remove unused function * update checkpoint names * fix copy * fix tokenizer * fix checkpoint names * fix merge issue * style
-
- 25 Feb, 2021 1 commit
-
-
Patrick von Platen authored
[PretrainedFeatureExtractor] + Wav2Vec2FeatureExtractor, Wav2Vec2Processor, Wav2Vec2Tokenizer (#10324) * push to show * small improvement * small improvement * Update src/transformers/feature_extraction_utils.py * Update src/transformers/feature_extraction_utils.py * implement base * add common tests * make all tests pass for wav2vec2 * make padding work & add more tests * finalize feature extractor utils * add call method to feature extraction * finalize feature processor * finish tokenizer * finish general processor design * finish tests * typo * remove bogus file * finish docstring * add docs * finish docs * small fix * correct docs * save intermediate * load changes * apply changes * apply changes to doc * change tests * apply surajs recommend * final changes * Apply suggestions from code review * fix typo * fix import * correct docstring
-
- 09 Feb, 2021 1 commit
-
-
Patrick von Platen authored
* add wav2vec2CTC and deprecate for maskedlm * remove from docs
-
- 04 Feb, 2021 1 commit
-
-
demSd authored
* initiliaze bart4causalLM * create BartDecoderWrapper, setters/getters * delete spaces * forward and additional methods * update cache function, loss function, remove ngram* params in data class. * add bartcausallm, bartdecoder testing * correct bart for causal lm * remove at * add mbart as well * up * fix typo * up * correct * add pegasusforcausallm * add blenderbotforcausallm * add blenderbotsmallforcausallm * add marianforcausallm * add test for MarianForCausalLM * add Pegasus test * add BlenderbotSmall test * add blenderbot test * fix a fail * fix an import fail * a fix * fix * Update modeling_pegasus.py * fix models * fix inputs_embeds setting getter * adapt tests * correct repo utils check * finish test improvement * fix tf models as well * make style * make fix-copies * fix copies * run all tests * last changes * fix all tests Co-authored-by:
-
- 27 Jan, 2021 1 commit
-
-
abhishek thakur authored
* finalize convbert * finalize convbert * fix * fix * fix * push * fix * tf image patches * fix torch model * tf tests * conversion * everything aligned * remove print * tf tests * fix tf * make tf tests pass * everything works * fix init * fix * special treatment for sepconv1d * style *
馃檹 馃徑 * add doc and cleanup * add electra test again * fix doc * fix doc again * fix doc again * Update src/transformers/modeling_tf_pytorch_utils.py Co-authored-by:
-
- 07 Jan, 2021 1 commit
-
-
Sylvain Gugger authored
* Main init work * Add version * Change from absolute to relative imports * Fix imports * One more typo * More typos * Styling * Make quality script pass * Add necessary replace in template * Fix typos * Spaces are ignored in replace for some reason * Forgot one models. * Fixes for import Co-authored-by:
-
- 06 Jan, 2021 2 commits
-
-
Qbiwan authored
* first commit * change phobert to phoBERT as per author in overview * v3 and v4 both runs on same code hence there is no need to differentiate them Co-authored-by: -
Qbiwan authored
* first commit * changed XLMTokenizer to HerbertTokenizer in code example
-
- 05 Jan, 2021 2 commits
-
-
Patrick von Platen authored
* first try * remove old template * finish bart * finish mbart * delete unnecessary line * init pegasus * save intermediate * correct pegasus * finish pegasus * remove cookie cutter leftover * add marian * finish blenderbot * replace in file * correctly split blenderbot * delete "old" folder * correct "add statement" * adapt config for tf comp * correct configs for tf * remove ipdb * fix more stuff * fix mbart * push pegasus fix * fix mbart * more fixes * fix research projects code * finish docs for bart, mbart, and marian * delete unnecessary file * correct attn typo * correct configs * remove pegasus for seq class * correct peg docs * correct peg docs * finish configs * further improve docs * add copied from statements to mbart * fix copied from in mbart * add copy statements to marian * add copied from to marian * add pegasus copied from * finish pegasus * finish copied from * Apply suggestions from code review * make style * backward comp blenderbot * apply lysandres and sylvains suggestions * apply suggestions * push last fixes * fix docs * fix tok tests * fix imports code style * fix doc
-
Patrick von Platen authored
* create model * add integration * save current state * make integration tests pass * add one more test * add explanation to tests * remove from bart * add padding * remove unnecessary test * make all tests pass * re-add cookie cutter tests * finish PyTorch * fix attention test * Update tests/test_modeling_common.py * revert change * remove unused file * add string to doc * save intermediate * make tf integration tests pass * finish tf * fix doc * fix docs again * add led to doctree * add to auto tokenizer * added tips for led * make style * apply jplus statements * correct tf longformer * apply lysandres suggestions * apply sylvains suggestions * Apply suggestions from code review
-
