- 15 Mar, 2022 1 commit
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Francesco Saverio Zuppichini authored
* encoder works * addded files * norm in stage * convertion script * tests * fix copies * make fix-copies * fixed __init__ * make fix-copies * fix * shapiro test needed * make fix-copie * minor changes * make style + quality * minor refactor conversion script * rebase + tests * removed unused variables * updated doc * toctree * CI * doc * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * resolved conversations * make fixup * config passed to modules * config passed to modules * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * conversations * conversations * copyrights * normal test * tests Co-authored-by:
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- 14 Mar, 2022 2 commits
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Francesco Saverio Zuppichini authored
* first commit * ResNet model correctly implemented. basic modeling + weights conversion is done removed unused doc mdx file doc and conversion script added feature_extractor to auto test minor changes + style + quality doc test Delete process.yml A left over from my attempt of running circleci locally * minor changes * Apply suggestions from code review Co-authored-by:
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lewtun authored
* Make Camembert great again! * Add Camembert to TensorFlow ONNX tests
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- 10 Mar, 2022 1 commit
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NielsRogge authored
* Add conversion script * Improve script * Fix bug * Add option to push to hub * Add support for classification models * Update model name * Upload feature extractor files first * Remove hash checking * Fix config * Add id2label * Add import * Fix id2label file name * Fix expected shape * Add model to README * Improve docs * Add integration test and fix CI * Fix code style * Add missing init * Add model to SPECIAL_MODULE_TO_TEST_MAP Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 09 Mar, 2022 1 commit
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Sanchit Gandhi authored
* add causal lm * add CausalLM tests * Add FlaxBartForCausalLM * Add EncoderDecoder model tests * change docstring * make repo-consistency * suggested changes * remove jax ops * correction * rename pre-trained decoder model
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- 04 Mar, 2022 2 commits
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Javier de la Rosa authored
* Adding Flax XLM-RoBERTa * Add Flax to __init__ * Adding doc and dummy objects * Add tests * Add Flax XLM-R models autodoc * Fix tests * Add Flask XLM-RoBERTa to TEST_FILES_WITH_NO_COMMON_TESTS * Update src/transformers/models/xlm_roberta/modeling_flax_xlm_roberta.py Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Update tests/xlm_roberta/test_modeling_flax_xlm_roberta.py Co-authored-by:
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Nicolas Patry authored
Small adjustments. Adding in type hint. Last fix ? Only include the default dict thing, not the pipelines.
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- 03 Mar, 2022 1 commit
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Li-Huai (Allan) Lin authored
* Draft * Add test * Update src/transformers/models/realm/modeling_realm.py * Apply suggestion * Add block_mask * Update * Update * Add block_embedding_to * Remove no_grad * Use AutoTokenizer * Remove model.to overridding
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- 02 Mar, 2022 2 commits
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Francesco Saverio Zuppichini authored
* maskformer * conflicts * conflicts * minor fixes * feature extractor test fix refactor MaskFormerLoss following conversation MaskFormer related types should not trigger a module time import error missed one removed all the types that are not used update config mapping minor updates in the doc resolved conversation that doesn't need a discussion minor changes resolved conversations fixed DetrDecoder * minor changes minor changes fixed mdx file test feature_extractor return types functional losses -> classes removed the return type test for the feature extractor minor changes + style + quality * conflicts? * rebase master * readme * added missing files * deleded poolformers test that where in the wrong palce * CI * minor changes * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> [examples/summarization and translation] fix readme (#15833) Add ONNX Runtime quantization for text classification notebook (#15817) Re-enable doctests for the quicktour (#15828) * Re-enable doctests for the quicktour * Re-enable doctests for task_summary (#15830) * Remove & Framework split model report (#15825) Add TFConvNextModel (#15750) * feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by:
ariG23498 <aritra.born2fly@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co> Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> * minor changes * doc fix in feature extractor * doc * typose * removed detr logic from config * removed detr logic from config * removed num_labels * small fix in the config * auxilary -> auxiliary * make style * some test is failing * fix a weird char in config prevending doc-builder * retry to fix the doc-builder issue * make style * new try to fix the doc builder * CI * change weights to facebook Co-authored-by:
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Patrick von Platen authored
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- 01 Mar, 2022 2 commits
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NielsRogge authored
Co-authored-by: -
Eduardo Gonzalez Ponferrada authored
* Add data2vec model cloned from roberta * Add checkpoint conversion script * Fix copies * Update docs * Add checkpoint conversion script * Remove fairseq data2vec_text script and fix format * Add comment on where to get data2vec_text.py * Remove mock implementation cheat.py and fix style * Fix copies * Remove TF and Flax classes from init * Add back copy from fairseq data2vec_text.py and fix style * Update model name in docs/source/index.mdx to be CamelCase * Revert model name in table to lower-case to get check_table test to pass * Update src/transformers/models/data2vec/__init__.py Co-authored-by:
Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com> Co-authored-by:
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- 28 Feb, 2022 1 commit
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Sanchit Gandhi authored
* rebase * Delete shift tokens func * downsample decoder input seq len for init * correct attention mask * add tests * pt flax cross test * make fixup * init file for import * change pt-flax cross test threshold * pt-flax test logits only * move tests * make repo-consistency * consistent indentation Co-authored-by:
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- 25 Feb, 2022 2 commits
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Sayak Paul authored
* feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by:
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Tanay Mehta authored
* Added model specific output classes to poolformer docs * Fixed Segformer typo in Poolformer docs
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- 22 Feb, 2022 1 commit
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Patrick von Platen authored
* [Wav2Vec2 Time Stamps] * Add first version * add word time stamps * Fix * save intermediate space * improve * [Finish CTC Tokenizer] * remove @ * remove @ * push * continue with phonemes * up * finish PR * up * add example * rename * finish * Apply suggestions from code review Co-authored-by:
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- 18 Feb, 2022 1 commit
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Gunjan Chhablani authored
* Init PLBART * Add missing configuration file * Add conversion script and configurationf ile * Fix style * Update modeling and conversion scripts * Fix scale embedding in config * Add comment * Fix conversion script * Add classification option to conversion script * Fix vocab size in config doc * Add tokenizer files from MBart50 * Allow no lang code in regular tokenizer * Add PLBart Tokenizer Converters * Remove mask from multi tokenizer * Remove mask from multi tokenizer * Change from MBart-50 to MBart tokenizer * Fix names and modify src/tgt behavior * Fix imports for tokenizer * Remove <mask> from multi tokenizer * Fix style * Change tokenizer_class to processor_class * Add attribute map to config class * Update modeling file to modified MBart code * Update configuration file to MBart style configuration * Fix tokenizer * Separate tokenizers * Fix error in tokenization auto * Copy MBart tests * Replace with MBart tokenization tests * Fix style * Fix language code in multi tokenizer * Fix configuration docs * Add entry for plbart_multi in transformers init * Add dummy objects and fix imports * Fix modeling tests * Add TODO in config * Fix copyright year * Fix modeling docs and test * Fix some tokenization tests and style * Add changes from review * Fix copies * Fix docs * Fix docs * Fix style * Fix year * Add changes from review * Remove extra changes * Fix base tokenizer and doc * Fix style * Fix modeling and slow tokenizer tests * Remove Multi-tokenizer Converter and Tests * Delete QA model and Multi Tokenizer dummy objects * Fix repo consistency and code quality issues * Fix example documentation * Fix style * Remove PLBartTokenizer from type checking in init * Fix consistency issue * Add changes from review * Fix style * Remove PLBartTokenizerFast * Remove FastTokenizer converter * Fix AutoTokenzier mapping * Add plbart to toctree and fix consistency issues * Add language codes tokenizer test * Fix styling and doc issues * Add fixes for failing tests * Fix copies * Fix failing modeling test * Change assert to assertTrue in modeling tests
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- 17 Feb, 2022 2 commits
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NielsRogge authored
* Add first draft * Make model importable * Make SwinForMaskedImageModeling importable * Fix imports * Add missing inits * Add support for Swin * Fix bug * Fix bug * Fix another bug * Fix Swin MIM implementation * Fix default encoder stride * Fix Swin * Add print statements for debugging * Add image_size data argument * Fix Swin * Fix image_size * Add print statements for debugging * Fix print statement * Remove print statements * Improve reshaping of bool_masked_pos * Add support for DeiT, fix tests * Improve docstrings * Apply new black version * Improve script * Fix bug * Improve README * Apply suggestions from code review * Remove DS_Store and add to gitignore * Apply suggestions from code review + fix BEiT Flax * Revert BEiT changes * Improve README * Fix code quality * Improve README Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MBP.localdomain> Co-authored-by:
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Tanay Mehta authored
* Added all files, PoolFormerFeatureExtractor still failing tests * Fixed PoolFormerFeatureExtractor not being able to import * Completed Poolformer doc * Applied Suggested fixes * Fixed errors in modeling_auto.py * Fix feature extractor, convert docs to Markdown, styling of code * Remove PoolFormer from check_repo and fix integration test * Remove Poolformer from check_repo * Fixed configuration_poolformer.py docs and removed inference.py from poolformer * Ran with black v22 * Added PoolFormer to _toctree.yml * Updated poolformer doc * Applied suggested fixes and added on README.md * Did make fixup and make fix-copies, tests should pass now * Changed PoolFormer weights conversion script name and fixed README * Applied fixes in test_modeling_poolformer.py and modeling_poolformer.py * Added PoolFormerFeatureExtractor to AutoFeatureExtractor API Co-authored-by:
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- 16 Feb, 2022 1 commit
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Stas Bekman authored
* [t5] faster/leaner custom layer norm * wip * apex.normalization.FusedRMSNorm * cleanup * cleanup * add doc * add catch all * Trigger CI * expand
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- 15 Feb, 2022 1 commit
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jonrbates authored
Forward looks for inputs, not input_ids
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- 14 Feb, 2022 1 commit
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NielsRogge authored
* Add attribute_map * Add mention in docs * Set hidden_size attribute correctly * Add note about Transformer-based models only Co-authored-by:
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- 11 Feb, 2022 1 commit
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Steven Liu authored
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- 09 Feb, 2022 1 commit
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NielsRogge authored
Co-authored-by:
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- 08 Feb, 2022 1 commit
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Joao Gante authored
* Add wrapper classes * convert inner layers to tf * Add TF Encoder and Decoder layers * TFSpeech2Text models * Loadable model * TF model with same outputs as PT model * test skeleton * correct tests and run the fixup * correct attention expansion * TFSpeech2Text pask_key_values with TF format
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- 07 Feb, 2022 1 commit
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NielsRogge authored
* First draft * Add conversion script * Improve conversion script * Improve docs and implement tests * Define model output class * Fix tests * Fix more tests * Add model to README * Apply suggestions from code review Co-authored-by:
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- 04 Feb, 2022 1 commit
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Sylvain Gugger authored
* Standardize instance segmentation models outputs * Rename output * Update src/transformers/modeling_outputs.py Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Copy fix in Segformer Co-authored-by:
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- 31 Jan, 2022 1 commit
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NielsRogge authored
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- 29 Jan, 2022 1 commit
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Soonhwan-Kwon authored
* add xlm roberta xl * add convert xlm xl fairseq checkpoint to pytorch * fix init and documents for xlm-roberta-xl * fix indention * add test for XLM-R xl,xxl * fix model hub name * fix some stuff * up * correct init * fix more * fix as suggestions * add torch_device * fix default values of doc strings * fix leftovers * merge to master * up * correct hub names * fix docs * fix model * up * finalize * last fix * Apply suggestions from code review Co-authored-by:
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- 28 Jan, 2022 1 commit
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Suraj Patil authored
* add xglm * update vocab size * fix model name * style and tokenizer * typo * no mask token * fix pos embed compute * fix args * fix tokenizer * fix positions * fix tokenization * style and dic fixes * fix imports * add fast tokenizer * update names * add pt tests * fix tokenizer * fix typo * fix tokenizer import * fix fast tokenizer * fix tokenizer * fix converter * add tokenizer test * update checkpoint names * fix tokenizer tests * fix slow tests * add copied from comments * rst -> mdx * flax model * update flax tests * quality * style * doc * update index and readme * fix copies * fix doc * update toctrr * fix indent * minor fixes * fix config doc * don't save embed_pos weights * Apply suggestions from code review Co-authored-by:
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- 26 Jan, 2022 2 commits
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novice authored
* Add cookiecutter files * Add cuda kernels and cpp files * Update modeling_yoso.py * Add .h files * Update configuration_yoso.py * Updates * Remove tokenizer * Code quality * Update modeling_yoso.py * Update modeling_yoso.py * Fix failing test * Update modeling_yoso.py * Fix code quality * Apply suggestions from code review Co-authored-by:
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Jacob Deppen authored
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- 21 Jan, 2022 1 commit
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novice authored
* Add all files * Apply suggestions from code review Co-authored-by:
Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> * Update conversion script * Reformat conversion script Co-authored-by:
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- 20 Jan, 2022 1 commit
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NielsRogge authored
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- 19 Jan, 2022 3 commits
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NielsRogge authored
* First commit * Add conversion script * Make conversion script work for base model * More improvements * Update conversion script, works for vqa * Add indexing argument to meshgrid * Make conversion script work for ViltForPreTraining * Add ViltForPreTraining to docs * Fix device issue * Add processor * Add MinMaxResize to feature extractor * Implement call method of ViltProcessor * Fix tests * Add integration test * Add loss calculation for VQA * Improve tests * Improve some more tests * Debug tests * Small improvements * Add support for attention_mask * Remove mask_it * Add pixel_mask * Add tests for ViltFeatureExtractor * Improve tests * Add ViltForNaturalLanguageVisualReasoning * Add ViltForNaturalLanguageVisualReasoning to conversion script * Minor fixes * Add support for image_embeds, update docstrings to markdown * Update docs to markdown * Improve conversion script * Rename ViltForPreTraining to ViltForMaskedLM * Improve conversion script * Convert docstrings to markdown * Fix code example of retrieval model * Properly convert masked language model * Add integration test for nlvr * Fix code quality * Apply suggestions from code review * Add copied from statements * Fix pretrained_config_archive_map * Fix docs * Add model to README * Apply suggestions from code review Co-authored-by:
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NielsRogge authored
* Add MAE to AutoFeatureExtractor * Add link to notebook * Fix relative paths
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Li-Huai (Allan) Lin authored
* Remove BertTokenizer abstraction * Add FastTokenizer to REALM * Fix config archive map * Fix copies * Update realm.mdx * Apply suggestions from code review
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- 18 Jan, 2022 3 commits
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Sylvain Gugger authored
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NielsRogge authored
* First draft * More improvements * More improvements * More improvements * Fix embeddings * Add conversion script * Finish conversion script * More improvements * Fix forward pass * Remove print statements * Add weights initialization * Add initialization of decoder weights * Add support for other models in the conversion script * Fix patch_size for huge model * Fix most of the tests * Fix integration test * Fix docs * Fix archive_list * Apply suggestions from code review * Improve documentation * Apply more suggestions * Skip some tests due to non-deterministic behaviour * Fix test_initialization * Remove unneccessary initialization of nn.Embedding * Improve docs * Fix dummies * Remove ViTMAEFeatureExtractor from docs * Add model to README and table of contents * Delete inference file
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Li-Huai (Allan) Lin authored
* REALM initial commit * Retriever OK (Update new_gelu). * Encoder prediction score OK * Encoder pretrained model OK * Update retriever comments * Update docs, tests, and imports * Prune unused models * Make embedder as a module `RealmEmbedder` * Add RealmRetrieverOutput * Update tokenization * Pass all tests in test_modeling_realm.py * Prune RealmModel * Update docs * Add training test. * Remove completed TODO * Style & Quality * Prune `RealmModel` * Fixup * Changes: 1. Remove RealmTokenizerFast 2. Update docstrings 3. Add a method to RealmTokenizer to handle candidates tokenization. * Fix up * Style * Add tokenization tests * Update `from_pretrained` tests * Apply suggestions * Style & Quality * Copy BERT model * Fix comment to avoid docstring copying * Make RealmBertModel private * Fix bug * Style * Basic QA * Save * Complete reader logits * Add searcher * Complete searcher & reader * Move block records init to constructor * Fix training bug * Add some outputs to RealmReader * Add finetuned checkpoint variable names parsing * Fix bug * Update REALM config * Add RealmForOpenQA * Update convert_tfrecord logits * Fix bugs * Complete imports * Update docs * Update naming * Add brute-force searcher * Pass realm model tests * Style * Exclude RealmReader from common tests * Fix * Fix * convert docs * up * up * more make style * up * upload * up * Fix * Update src/transformers/__init__.py * adapt testing * change modeling code * fix test * up * up * up * correct more * make retriever work * update * make style * finish main structure * Resolve merge conflict * Make everything work * Style * Fixup * Fixup * Update training test * fix retriever * remove hardcoded path * Fix * Fix modeling test * Update model links * Initial retrieval test * Fix modeling test * Complete retrieval tests * Fix * style * Fix tests * Fix docstring example * Minor fix of retrieval test * Update license headers and docs * Apply suggestions from code review * Style * Apply suggestions from code review * Add an example to RealmEmbedder * Fix Co-authored-by:
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