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509 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Sylvain Gugger
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3a0f1684c3
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Fix readme links and add CI check (#16392)
* Fix doc links in README * Fix name * Fix links in READMEs and doc index * Error if there is something wrong so the CI knows |
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Edward Beeching
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aff9bc405a
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Decision transformer gym (#15845)
* Created the Decision Transformer Modle * updating tests, copy to other machine * Added last hidden size to Decision Transformer modelling outputs * Removed copy of original DT file * made a temporary change to gpt2 to have it conform with the Decision Transformer version * Updated tests * Ignoring a file used to test the DT model * added comments to config file * added comments and argument descriptions to decision transformer file * Updated doc * Ran "make style" * Remove old model imports * Removed unused imports, cleaned up init file * Update docs/source/model_doc/decision_transformer.mdx added my username Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Reverted changes made to gpt2 * Removed datasets submodule * Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states * Added support for return of hidden states, attentions and return dict of gpt2 model. * Updated tests to include many of the ModelTesterMixin tests. The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes * Added missing line to the end of gpt2 file * Added an integration test for the Decision Transformer Test performs and autoregressive evaluation for two time steps * Set done and info to _ to fix failing test * Updated integration test to be deterministic and check expected outputs * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Removed unnecessary config options * Cleaned up commented code and old comments. * Cleaned up commented code. * Changed DecisionTransformer to Decision Transformer * Added Decision Transformer to the main README file * Added copy of GTP2 called DecisionTranformerGPT2Model * isorted imports * isorted imports * Added model to non-English README files * Ran make fix-copies and corrected some cases. * Updated index file to include Decision Transformer * Added gpt2 model as copy inside the Decision Transformer model file * Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS * Deleted redundant checkpoint files (I don't know how these got committed) * Removed testing files. (These should have never been committed) * Removed accidentally committed files * Moved the Decision Transformer test to its own directory * Add type hints for Pegasus (#16324) * Funnel type hints (#16323) * add pt funnel type hints * add tf funnel type hints * Add type hints for ProphetNet PyTorch (#16272) * [GLPN] Improve docs (#16331) * Add link to notebook * Add link * Fix bug Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> * Added type hints for Pytorch Marian calls (#16200) * Added type hinting for forward functions in pytorch marian * typo correction * Removed type hints on functions from BART per Suraj Patil request * fix import pb * fix typo * corrected tuple call * ran black * after fix-copies Some optional tags on primitives were removed, past_key_values in MarianForCausalLM changed from Tuple of Tuple to List * Fixing copies to roformer and pegasus Co-authored-by: Clementine Fourrier <cfourrie@inria.fr> Co-authored-by: matt <rocketknight1@gmail.com> * Moved DecisionTransformOutput to modeling_decision_transformer * Moved the example usage to research project and cleaned comments * Made tests ignore the copy of gpt2 in Decision Transformer * Added module output to modelling decision transformer * removed copied gpt2 model from list of transformers models * Updated tests and created __init__ file for new test location * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/configuration_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Removed unneeded summary type from config file * Fixed copies * Updated pretrained config map to refer to hopper-medium checkpoint * done (#16340) * Added Decision transformer to model docs * Update src/transformers/models/decision_transformer/modeling_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/modeling_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/configuration_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add type annotations for Rembert/Splinter and copies (#16338) * undo black autoformat * minor fix to rembert forward with default * make fix-copies, make quality * Adding types to template model * Removing List from the template types * Remove `Optional` from a couple of types that don't accept `None` Co-authored-by: matt <rocketknight1@gmail.com> * [Bug template] Shift responsibilities for long-range (#16344) * Fix code repetition in serialization guide (#16346) * Adopt framework-specific blocks for content (#16342) * ✨ refactor code samples with framework-specific blocks * ✨ update training.mdx * 🖍 apply feedback * Updates the default branch from master to main (#16326) * Updates the default branch from master to main * Links from `master` to `main` * Typo * Update examples/flax/README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Updated model with custom docstring example * Created the Decision Transformer Modle * updating tests, copy to other machine * Added last hidden size to Decision Transformer modelling outputs * Removed copy of original DT file * made a temporary change to gpt2 to have it conform with the Decision Transformer version * Updated tests * Ignoring a file used to test the DT model * added comments to config file * added comments and argument descriptions to decision transformer file * Updated doc * Ran "make style" * Remove old model imports * Removed unused imports, cleaned up init file * Update docs/source/model_doc/decision_transformer.mdx added my username Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Reverted changes made to gpt2 * Removed datasets submodule * Update the modeling outputs to include gpt2 attentions, hidden states and last hidden states * Added support for return of hidden states, attentions and return dict of gpt2 model. * Updated tests to include many of the ModelTesterMixin tests. The following tests are skipped: test_generate_without_input_ids, test_pruning, test_resize_embeddings, test_head_masking, test_attention_outputs, test_hidden_states_output, test_inputs_embeds, test_model_common_attributes * Added missing line to the end of gpt2 file * Added an integration test for the Decision Transformer Test performs and autoregressive evaluation for two time steps * Set done and info to _ to fix failing test * Updated integration test to be deterministic and check expected outputs * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Removed unnecessary config options * Cleaned up commented code and old comments. * Cleaned up commented code. * Changed DecisionTransformer to Decision Transformer * Added Decision Transformer to the main README file * Added copy of GTP2 called DecisionTranformerGPT2Model * isorted imports * isorted imports * Added model to non-English README files * Ran make fix-copies and corrected some cases. * Updated index file to include Decision Transformer * Added gpt2 model as copy inside the Decision Transformer model file * Added the unit test file to the list of TEST_FILES_WITH_NO_COMMON_TESTS * Deleted redundant checkpoint files (I don't know how these got committed) * Removed testing files. (These should have never been committed) * Removed accidentally committed files * Moved the Decision Transformer test to its own directory * Moved DecisionTransformOutput to modeling_decision_transformer * Moved the example usage to research project and cleaned comments * Made tests ignore the copy of gpt2 in Decision Transformer * Added module output to modelling decision transformer * removed copied gpt2 model from list of transformers models * Updated tests and created __init__ file for new test location * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/configuration_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Removed unneeded summary type from config file * Fixed copies * Updated pretrained config map to refer to hopper-medium checkpoint * Added Decision transformer to model docs * Update src/transformers/models/decision_transformer/modeling_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/modeling_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/decision_transformer/configuration_decision_transformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Updated model with custom docstring example * Updated copies, config auto, and readme files. Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Dan Tegzes <48134725+Tegzes@users.noreply.github.com> Co-authored-by: Adam Montgomerie <adam@avanssion.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Clémentine Fourrier <22726840+clefourrier@users.noreply.github.com> Co-authored-by: Clementine Fourrier <cfourrie@inria.fr> Co-authored-by: matt <rocketknight1@gmail.com> Co-authored-by: Francesco Saverio Zuppichini <francesco.zuppichini@gmail.com> Co-authored-by: Jacob Dineen <54680234+jacobdineen@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Omar Sanseviero <osanseviero@gmail.com> Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> |
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Lysandre Debut
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eca77f4719
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Updates the default branch from master to main (#16326)
* Updates the default branch from master to main * Links from `master` to `main` * Typo * Update examples/flax/README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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0c55d47cde
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Add GLPN (#16199)
* First draft * Fix logits calculation * Improve tests * Add copied from statements * Fix base_model_prefix * Improve implementation, upload new models * Update design * Fix integration test * Add model to README and toctree * Add document image * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add decoder_hidden_size attribute * Update design of decoder * Add DepthEstimatorOutput class * Rename in_index to head_in_index and add feature extractor tests * Apply suggestions from code review * Apply suggestions from code review * Update pretrained model name and add to doc tests * Remove test.py script * Update copied from statements and clean up Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Francesco Saverio Zuppichini
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0a057201a9
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Visual Attention Network (VAN) (#16027)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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Francesco Saverio Zuppichini
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e3008c679f
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[WIP] Resnet (#15770)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * new test format * minor changes from conversations * minor changes from conversations * make style + quality * readded the tests * test + README * minor changes from conversations * error in README * make fix-copies * removed regression for classification head * make quality * fixed loss control flow * fixed loss control flow * resolved conversations * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * READMEs * index.mdx * minor changes * updated tests and models * unused import * outputs * Update docs/source/model_doc/resnet.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * added embeddings_size * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * conversation * added push to hub * test * embedding_size * make fix-copies * resolved conversations * CI * changed organization * minor changes * CI * minor changes * conversations * conversation * doc * tests * removed unused docstring * conversation * removed unused outputs * CI Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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Suraj Patil
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b2a1c994cb
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[README] fix url for Preprocessing tutorial (#16042) | ||
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NielsRogge
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0835119bf3
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Add Document Image Transformer (DiT) (#15984)
* 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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Francesco Saverio Zuppichini
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d83d22f578
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Maskformer (#15682)
* 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: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * resolved conversations * minor changes * conversations [Unispeech] Fix slow tests (#15818) * remove soundfile old way of loading audio * Adapt slow test [Barthez Tokenizer] Fix saving (#15815) [TFXLNet] Correct tf xlnet generate (#15822) * [TFXLNet] Correct tf xlnet * adapt test comment Fix the push run (#15807) Fix semantic segmentation pipeline test (#15826) Fix dummy_inputs() to dummy_inputs in symbolic_trace doc (#15776) Add model specific output classes to PoolFormer model docs (#15746) * Added model specific output classes to poolformer docs * Fixed Segformer typo in Poolformer docs Adding the option to return_timestamps on pure CTC ASR models. (#15792) * Adding the option to return_timestamps on pure CTC ASR models. * Remove `math.prod` which was introduced in Python 3.8 * int are not floats. * Reworking the PR to support "char" vs "word" output. * Fixup! * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Quality. Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> HFTracer.trace should use/return self.graph to be compatible with torch.fx.Tracer (#15824) Fix tf.concatenate + test past_key_values for TF models (#15774) * fix wrong method name tf.concatenate * add tests related to causal LM / decoder * make style and quality * clean-up * Fix TFBertModel's extended_attention_mask when past_key_values is provided * Fix tests * fix copies * More tf.int8 -> tf.int32 in TF test template * clean-up * Update TF test template * revert the previous commit + update the TF test template * Fix TF template extended_attention_mask when past_key_values is provided * Fix some styles manually * clean-up * Fix ValueError: too many values to unpack in the test * Fix more: too many values to unpack in the test * Add a comment for extended_attention_mask when there is past_key_values * Fix TFElectra extended_attention_mask when past_key_values is provided * Add tests to other TF models * Fix for TF Electra test: add prepare_config_and_inputs_for_decoder * Fix not passing training arg to lm_head in TFRobertaForCausalLM * Fix tests (with past) for TF Roberta * add testing for pask_key_values for TFElectra model 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: NielsRogge <48327001+NielsRogge@users.noreply.github.com> 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> |
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Eduardo Gonzalez Ponferrada
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df5a4094a6
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Add Data2Vec (#15507)
* 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: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update docs/source/model_doc/data2vec.mdx Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/data2vec.mdx Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/auto/configuration_auto.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/configuration_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/test_modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/configuration_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update documentation * Copy-paste Data2VecConfig from BertConfig * Update config checkpoint to point to edugp/data2vec-nlp-base. Fix style and repo-consistency * Update config special tokens to match RoBERTa * Split multiple assertions and add individual error messages * Rename Data2VecModel to Data2VecForTextModel * Add Data2Vec to _toctree.yml * Rename Data2VecEmbeddings to Data2VecForTextEmbeddings * Add initial Data2VecForAudio model (unfinished). Only matching fairseq's implementation up to the feature encoder (before positional encoding). * finish audio model * finish audio file * Update names and fix style, quality and repo consistency * Remove Data2VecAudioForPretraining. Add tests for Data2VecAudio, mimicking the Wav2Vec2 test suite. Fix bias initilization in positional conv layers. Move back configurations for audio and text to separate files. * add inputs to logits to data2vec' * correct autio models * correct config auto * correct tok auto * Update utils/tests_fetcher.py * delete unnecessary files * delete unnecessary files * further renaming * make all tests pass * finish * remove useless test file * Update tests/test_modeling_common.py * Update utils/check_repo.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec_text.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Fix copies * Update docs * 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 documentation * Update src/transformers/models/data2vec/__init__.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/convert_data2vec_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/auto/configuration_auto.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/configuration_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/test_modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/configuration_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/data2vec/modeling_data2vec.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Copy-paste Data2VecConfig from BertConfig * Update config checkpoint to point to edugp/data2vec-nlp-base. Fix style and repo-consistency * Update config special tokens to match RoBERTa * Split multiple assertions and add individual error messages * Rename Data2VecModel to Data2VecForTextModel * Add Data2Vec to _toctree.yml * Rename Data2VecEmbeddings to Data2VecForTextEmbeddings * Add initial Data2VecForAudio model (unfinished). Only matching fairseq's implementation up to the feature encoder (before positional encoding). * finish audio model * finish audio file * add inputs to logits to data2vec' * Update names and fix style, quality and repo consistency * Remove Data2VecAudioForPretraining. Add tests for Data2VecAudio, mimicking the Wav2Vec2 test suite. Fix bias initilization in positional conv layers. Move back configurations for audio and text to separate files. * correct autio models * correct config auto * correct tok auto * delete unnecessary files * delete unnecessary files * Update utils/tests_fetcher.py * further renaming * make all tests pass * finish * remove useless test file * Update tests/test_modeling_common.py * Update utils/check_repo.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/data2vec/modeling_data2vec_text.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Move data2vec tests to new structure * Fix test imports for text tests * Remove fairseq files * Change paper link to arxiv * Modify Data2Vec documentation to reflect that the encoder is not shared across the audio and text models in the current implementation. * Update text model checkpoint to be facebook/data2vec-text-base * Add 'Copy from' statements and update paper links and docs * fix copy from statements * improve copied from * correct more copied from statements * finish copied from stuff * make style * add model to README * add to master Co-authored-by: Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Gunjan Chhablani
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2c2a31ffbc
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Add missing PLBart entry in README (#15721)
* Add missing PLBart entry in index * Fix README * Fix README * Fix style * Change to master model doc |
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Yih-Dar
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92a537d938
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Minor fix on README.md (#15688)
* fix README * fix more arxiv links * make fix-copies Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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Tanay Mehta
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f84e0dbd2a
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Add PoolFormer (#15531)
* 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: Niels Rogge <nielsrogge@Nielss-MBP.localdomain> |
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NielsRogge
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84eec9e6ba
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Add ConvNeXT (#15277)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply more suggestions from code review * Apply suggestions from code review * Rename dims to hidden_sizes * Fix equivalence test * Rename gamma to gamma_parameter * Clean up conversion script * Add ConvNextFeatureExtractor * Add corresponding tests * Implement feature extractor correctly * Make implementation cleaner * Add ConvNextStem class * Improve design * Update design to also include encoder * Fix gamma parameter * Use sample docstrings * Finish conversion, add center cropping * Replace nielsr by facebook, make feature extractor tests smaller * Fix integration test Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Soonhwan-Kwon
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e09473a817
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Add support for XLM-R XL and XXL models by modeling_xlm_roberta_xl.py (#13727)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add copied from * make style Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Suraj Patil
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d25e25ee2b
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Add XGLM models (#14876)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * address Sylvains commnets, few doc fixes * fix check_repo * align order of arguments * fix copies * fix labels * remove unnecessary mapping * fix saving tokenizer Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Lysandre
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f87db5e412 | Release: v4.16.0 | ||
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novice
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99a2771189
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Add YOSO (#15091)
* 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: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions from code review and fix integration tests * Update src/transformers/models/yoso/modeling_yoso.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Apply suggestions from code review * Fix copied from statement * Fix docstring * Fix code quality * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions and fix mask * Apply suggestions from code review * Fix code quality * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Fix docstrings * Fix code quality * Remove trailing whitespace * Update yoso.mdx * Move kernel loading to YosoEncoder * make style * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/yoso/modeling_yoso.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add short summary to docs * Update docs/source/model_doc/yoso.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update yoso.mdx * Update docs/source/model_doc/yoso.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Remove CausalLM model and add copied from * Remove autoregressive code * Remove unused imports * add copied from for embeddings * Fix code quality * Update docs/source/model_doc/yoso.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestion from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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novice
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d43e308e7f
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Add Swin Transformer (#15085)
* Add all files * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Updates * Apply suggestions from review * Fix failing tests * Update __init__.py * Update configuration_swin.py * Update auto_factory.py * Fix pytests * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Fix tests and default checkpoint * Fix Recursion error * Code quality * Remove copied from * Update modeling_swin.py * Code quality * Update modeling_swin.py * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review * Fix feature extractor * Fix code quality * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review * Update configuration_swin.py * Update default checkpoint * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/model_doc/swin.mdx Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> * Update conversion script * Reformat conversion script Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> |
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NielsRogge
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ac227093e4
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Add ViLT (#14895)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply more suggestions from code review * Make code more readable * Add ViltForNaturalLanguageVisualReasoning to the tests * Rename ViltForVisualQuestionAnswering to ViltForQuestionAnswering * Replace pixel_values_2 by single tensor * Add hidden_states and attentions * Fix one more test * Fix all tests * Update year * Fix rebase issues * Fix another rebase issue * Remove ViltForPreTraining from auto mapping * Rename ViltForImageRetrievalTextRetrieval to ViltForImageAndTextRetrieval * Make it possible to use BertTokenizerFast in the processor * Use BertTokenizerFast by default * Rename ViltForNaturalLanguageVisualReasoning, define custom model output Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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74bec9865c
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Add MAE (#15120)
* 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
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22454ae492
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Add REALM (#13292)
* 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: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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novice
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28e091430e
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Add Nystromformer (#14659)
* Initial commit * Config and modelling changes Added Nystromformer-specific attributes to config and removed all decoder functionality from modelling. * Modelling and test changes Added Nystrom approximation and removed decoder tests. * Code quality fixes * Modeling changes and conversion script Initial commits to conversion script, modeling changes. * Minor modeling changes and conversion script * Modeling changes * Correct modeling, add tests and documentation * Code refactor * Remove tokenizers * Code refactor * Update __init__.py * Fix bugs * Update src/transformers/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/__init__.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/model_doc/nystromformer.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/convert_nystromformer_original_pytorch_checkpoint_to_pytorch.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/nystromformer/configuration_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update modeling and test_modeling * Code refactor * .rst to .mdx * doc changes * Doc changes * Update modeling_nystromformer.py * Doc changes * Fix copies * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update configuration_nystromformer.py * Fix copies * Update tests/test_modeling_nystromformer.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update test_modeling_nystromformer.py * Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Fix code style * Update modeling_nystromformer.py * Update modeling_nystromformer.py * Fix code style * Reformat modeling file * Update modeling_nystromformer.py * Modify NystromformerForMultipleChoice * Fix code quality * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Code style changes and torch.no_grad() * make style * Apply suggestions from code review Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Sylvain Gugger
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8f6373c61c
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Map model_type and doc pages names (#14944)
* Map model_type and doc pages names * Add script * Fix typo * Quality * Manual check for Auto Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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Stas Bekman
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415810664b
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[doc] install - add jax (#14912)
As `jax` cuda requires special instructions to be installed correctly add a link to jax installation instructions. Note: Flax install page only covers cpu jax installation info. |
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Patrick von Platen
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c4a96cecbc
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Wav2Vec2 meets phonemes (#14353)
* up * add tokenizer * improve more * finish tokenizer * finish * adapt speech recognition script * adapt convert * more fixes * more fixes * update phonemizer wav2vec2 * better naming * fix more tests * more fixes swedish * correct tests * finish * improve script * remove file * up * lets get those 100 model architectures until the end of the month * make fix-copies * correct more * correct script * more fixes * more fixes * add to docs * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * replace assert * fix copies * fix docs * new try docs * boom boom * update * add phonemizer to audio tests * make fix-copies * up * upload models * some changes * Update tests/test_tokenization_wav2vec2_phoneme.py Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * more fixes * remove @ Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> |
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Patrick von Platen
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bef1e3e4a0
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Add WavLM (#14354)
* first commit * fix some stuff * fix more readme * Apply suggestions from code review * update * correct * up * attn layer works * push code * make modedls work * Small change * more refactor * finish * up * fix convertsion * fix position bias * Fix style * fix conversion * make fix-copies * add * clean * fix docs * fix * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * apply final changes * make fix-copies Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Lysandre Debut
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8010fda9bf
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Removes images to put them in a dataset (#14781)
* First try * Update instructions |
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Amit Chaudhary
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851a78978a
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Fix broken links to distillation on index page of documentation (#14722)
* Fix broken links to distillation on index page of documentation * Fix broken link for distillation in main README * Run make fixup |
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NielsRogge
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65b20b739b
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Add Perceiver IO (#14487)
* First draft * Style and remove mlm * Make forward pass work * More improvements * More improvements * Fix bug * More improvements * More improvements * Add PerceiverTokenizer first draft * Improve conversion script * More improvements * Make conversion script work for the encoder * Make conversion script work with local pickle files * Style & quality, fix-copies * Add dummy input to conversion script * Add absolute position embeddings to TextPreProcessor * Make forward pass of encoder work * More improvements * Move text preprocessor to separate script * More improvements * More improvements * Add post processor * Make MLM model work * Style * Add PerceiverForMaskedLM * Add PerceiverImagePreprocessor * Make style * Make PerceiverForImageClassification work * More improvements * More improvements * Use tokenizer in conversion script * Use PerceiverForMaskedLM in conversion script * Define custom PerceiverModelOutput * Improve PerceiverAttention to make it work for both MLM and image classification * More improvements * More improvements * More improvements to the conversion script * Make conversion script work for both MLM and image classification * Add PerceiverFeatureExtractor * More improvements * Style and quality * Add center cropping * Fix bug * Small fix * Add print statement * Fix bug in image preprocessor * Fix bug with conversion script * Make output position embeddings an nn.Parameter layer instead of nn.Embedding * Comment out print statements * Add position encoding classes * More improvements * Use position_encoding_kwargs * Add PerceiverForImageClassificationFourier * Make style & quality * Add PerceiverForImageClassificationConvProcessing * Style & quality * Add flow model * Move processors to modeling file * Make position encodings modular * Make basic decoder use modular position encodings * Add PerceiverForOpticalFlow to conversion script * Add AudioPreprocessor * Make it possible for the basic decoder to use Fourier position embeddings * Add PerceiverForMultimodalAutoencoding * Improve model for optical flow * Improve _build_network_inputs method * Add print statement * Fix device issue * Fix device of Fourier embeddings * Add print statements for debugging * Add another print statement * Add another print statement * Add another print statement * Add another print statement * Improve PerceiverAudioPreprocessor * Improve conversion script for multimodal modal * More improvements * More improvements * Improve multimodal model * Make forward pass multimodal model work * More improvements * Improve tests * Fix some more tests * Add output dataclasses * Make more tests pass * Add print statements for debuggin * Add tests for image classification * Add PerceiverClassifierOutput * More improvements * Make more tests pass for the optical flow model * Make style & quality * Small improvements * Don't support training for optical flow model for now * Fix _prepare_for_class for tests * Make more tests pass, add some docs * Add multimodal model to tests * Minor fixes * Fix tests * Improve conversion script * Make fixup * Remove pos_dim argument * Fix device issue * Potential fix for OOM * Revert previous commit * Fix test_initialization * Add print statements for debugging * Fix print statement * Add print statement * Add print statement * Add print statement * Add print statement * Add print statement * Add print statement * Remove need for output_shape * Comment out output_shape * Remove unnecessary code * Improve docs * Fix make fixup * Remove PerceiverTextProcessor from init * Improve docs * Small improvement * Apply first batch of suggestions from code review * Apply more suggestions from code review * Update docstrings * Define dicts beforehand for readability * Rename task to architecture in conversion script, include PerceiverModel in tests * Add print statements for debugging * Fix tests on GPU * Remove preprocessors, postprocessors and decoders from main init * Add integration test * Fix docs * Replace einops by torch * Update for new docs frontend * Rename PerceiverForImageClassification * Improve docs * Improve docs * Improve docs of PerceiverModel * Fix some more tests * Improve center_crop * Add PerceiverForSequenceClassification * Small improvements * Fix tests * Add integration test for optical flow model * Clean up * Add tests for tokenizer * Fix tokenizer by adding special tokens properly * Fix CI |
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Ryokan RI
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30646a0a3c
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Add mLUKE (#14640)
* implement MLukeTokenizer and LukeForMaskedLM * update tests * update docs * add LukeForMaskedLM to check_repo.py * update README * fix test and specify the entity pad id in tokenization_(m)luke * fix EntityPredictionHeadTransform |
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Suraj Patil
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bc8a9f415b
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fix typo (#14635) | ||
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Lysandre Debut
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ec47baeba2
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2022 is the year of multi-modality (#14610)
* 2022 is the year of multi-modality * Small fix * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> * Apply suggestions from code review * Apply to documentation index * Apply suggestions from code review Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> * Update README.md Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> * Apply suggestions from code review * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com> Co-authored-by: lewtun <lewis.c.tunstall@gmail.com> |
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Sylvain Gugger
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4df7d05a87
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Doc new front (#14590)
* Convert PretrainedConfig doc to Markdown * Use syntax * Add necessary doc files (#14496) * Doc fixes (#14499) * Fixes for the new front * Convert DETR file for table * Title is needed * Simplify a bit * Even simpler * Remove imports * Fix typo in toctree (#14516) * Fix checkpoints badge * Update versions.yml format (#14517) * Doc new front github actions (#14512) * Doc new front github actions * Fix docstring * Fix feature extraction utils import (#14515) * Address Julien's comments * Push to doc-builder * Ready for merge * Remove old build and deploy * Doc misc fixes (#14583) * Rm versions.yml from doc * Fix converting.rst * Rm pretrained_models from toctree * Fix index links (#14567) * Fix links in README * Localized READMEs * Fix copy script * Fix find doc script * Update README_ko.md Co-authored-by: Julien Chaumond <julien@huggingface.co> Co-authored-by: Julien Chaumond <julien@huggingface.co> * Adapt build command to new CLI tools (#14578) * Fix typo * Fix doc interlinks (#14589) * Convert PretrainedConfig doc to Markdown * Use syntax * Rm pattern <[a-z]+(.html).*> * Rm huggingface.co/transformers/master * Rm .html * Rm .html from index.mdx * Rm .html from model_summary.rst * Update index.mdx rm html * Update remove .html * Fix inner doc links * Fix interlink in preprocssing.rst * Update pr_checks Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Convert PretrainedConfig doc to Markdown * Use syntax * Add necessary doc files (#14496) * Doc fixes (#14499) * Fixes for the new front * Convert DETR file for table * Title is needed * Simplify a bit * Even simpler * Remove imports * Fix checkpoints badge * Fix typo in toctree (#14516) * Update versions.yml format (#14517) * Doc new front github actions (#14512) * Doc new front github actions * Fix docstring * Fix feature extraction utils import (#14515) * Address Julien's comments * Push to doc-builder * Ready for merge * Remove old build and deploy * Doc misc fixes (#14583) * Rm versions.yml from doc * Fix converting.rst * Rm pretrained_models from toctree * Fix index links (#14567) * Fix links in README * Localized READMEs * Fix copy script * Fix find doc script * Update README_ko.md Co-authored-by: Julien Chaumond <julien@huggingface.co> Co-authored-by: Julien Chaumond <julien@huggingface.co> * Adapt build command to new CLI tools (#14578) * Fix typo * Fix doc interlinks (#14589) * Convert PretrainedConfig doc to Markdown * Use syntax * Rm pattern <[a-z]+(.html).*> * Rm huggingface.co/transformers/master * Rm .html * Rm .html from index.mdx * Rm .html from model_summary.rst * Update index.mdx rm html * Update remove .html * Fix inner doc links * Fix interlink in preprocssing.rst * Update pr_checks Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Styling Co-authored-by: Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Julien Chaumond <julien@huggingface.co> |
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Shang Zhang
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a59e7c1ed4
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Add QDQBert model and quantization examples of SQUAD task (#14066)
* clean up branch for add-qdqbert-model * README update for QAT example; update docstrings in modeling_qdqbert.py * Update qdqbert.rst * Update README.md * Update README.md * calibration data using traning set; QAT example runs in fp32 * re-use BERTtokenizer for qdqbert * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/qdqbert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * remove qdqbert tokenizer * Update qdqbert.rst * update evaluate-hf-trt-qa.py * update configuration_qdqbert.py * update modeling_qdqbert.py: add copied statement; replace assert with ValueError * update copied from statement * add is_quantization_available; run make fix-copies * unittest add require_quantization * add backend dependency to qdqbert model * update README; update evaluate script; make style * lint * docs qdqbert update * circleci build_doc add pytorch-quantization for qdqbert * update README * update example readme with instructions to upgrade TensorRT to 8.2 * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/qdqbert/configuration_qdqbert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * change quantization to pytorch_quantization for backend requirement * feed_forward_chunking not supported in QDQBert * make style * update model docstrings and comments in testing scripts * rename example to quantization-qdqbert; rename example scripts from qat to quant * Update src/transformers/models/qdqbert/modeling_qdqbert.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * rm experimental functions in quant_trainer * qa cleanup * make fix-copies for docs index.rst * fix doctree; use post_init() for qdqbert * fix early device assignment for qdqbert * fix CI:Model templates runner Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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NielsRogge
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0490b98877
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[ImageGPT] Small fixes (#14460)
* Add integration test * Fix typo |
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NielsRogge
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da36c557f7
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Add ImageGPT (#14240)
* First draft * More improvements * Improve conversion script * Fix init weights for layer norm * Fix correct model for conversion script * Don't tie input and output embeddings * Add print statements for debugging * Add print statements for debugging * Fix vocab size of model * Improve documentation, remove fast tokenizer * Add ImageGPTForImageClassification, improve docs * Fix docs issue * Set verbosity level back to info * Improve tests * Fix tests and add figure * Delete tokenizer file * Remove ImageGPTTokenizer from init files * Remove ImageGPTLayer from init files * Remove ImageGPT tokenizer from docs * First draft of ImageGPTFeatureExtractor * Fix typo * Fix bug * More improvements * Apply suggestions from code review, add tests for feature extractor * Fix layernorm * Update save_pretrained method * Fix issue * Make all tests of ImageGPTFeatureExtractor pass * Update code examples * Rename model inputs to pixel_values * Improve code examples * Update init_weights to post_init * Fix post_init |
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Lysandre
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62bf536631 | Release v4.12.0 | ||
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NielsRogge
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1dc96a760d
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Add SegFormer (#14019)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Patrick von Platen
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9f3aa46f45
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Add Unispeech & Unispeech-SAT (#13963)
* unispeech * add copy from * remove hubert copy from * finish for today * add unispeech-sat * adapt more * up * up * up * up * add modeling * add tests * up * up * finish * up * Apply suggestions from code review * up * up * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * up * up Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Yeoun Yi
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9f53f049c6
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Translate README.md to Korean (#14015)
* Create README_ko.md * Update README.md * Update README_zh-hans.md * Update README_zh-hant.md * Update README_ko.md * Update check_copies.py * Update README_ko.md * typo * match with readme_ko |
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Dat Quoc Nguyen
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3d587c5343
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Add BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese (#13788)
* Add the pre-trained BARTpho model * Add the pre-trained BARTpho model * Add the pre-trained BARTpho model * Fix incorrectly sorted and/or formatted imports * Fix incorrectly sorted and/or formatted style * Fix check_dummies * Fix check_dummies * Fix check_dummies * Update docs/source/model_doc/bartpho.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/bartpho/__init__.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/bartpho/tokenization_bartpho.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update tests/test_tokenization_bartpho.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/bartpho/tokenization_bartpho.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update tests/test_tokenization_bartpho.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/bartpho.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/bartpho.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/bartpho/__init__.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Add the pre-trained BARTpho model * Add Tips section in doc and details of monolingual_vocab_file * Fix conflicts * Add another tip related to monolingual_vocab_file * Readd dependency_versions_table.py * Handle failing checks * Remove test_list.txt * Remove md5sum.saved * Revise Readme.md Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Anton Lozhkov
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cd3166a8ed
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Add the SEW and SEW-D speech models (#13962)
* 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: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/auto/feature_extraction_auto.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Move orgs Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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NielsRogge
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408b2d2bd0
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Add TrOCR + VisionEncoderDecoderModel (#13874)
* First draft * Update self-attention of RoBERTa as proposition * Improve conversion script * Add TrOCR decoder-only model * More improvements * Make forward pass with pretrained weights work * More improvements * Some more improvements * More improvements * Make conversion work * Clean up print statements * Add documentation, processor * Add test files * Small improvements * Some more improvements * Make fix-copies, improve docs * Make all vision encoder decoder model tests pass * Make conversion script support other models * Update URL for OCR image * Update conversion script * Fix style & quality * Add support for the large-printed model * Fix some issues * Add print statement for debugging * Add print statements for debugging * Make possible fix for sinusoidal embedding * Further debugging * Potential fix v2 * Add more print statements for debugging * Add more print statements for debugging * Deubg more * Comment out print statements * Make conversion of large printed model possible, address review comments * Make it possible to convert the stage1 checkpoints * Clean up code, apply suggestions from code review * Apply suggestions from code review, use Microsoft models in tests * Rename encoder_hidden_size to cross_attention_hidden_size * Improve docs |
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Lysandre
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dc193c906d | Release: v4.11.0 | ||
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Gunjan Chhablani
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d8049331dc
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Add FNet (#13045)
* Init FNet * Update config * Fix config * Update model classes * Update tokenizers to use sentencepiece * Fix errors in model * Fix defaults in config * Remove position embedding type completely * Fix typo and take only real numbers * Fix type vocab size in configuration * Add projection layer to embeddings * Fix position ids bug in embeddings * Add minor changes * Add conversion script and remove CausalLM vestiges * Fix conversion script * Fix conversion script * Remove CausalLM Test * Update checkpoint names to dummy checkpoints * Add tokenizer mapping * Fix modeling file and corresponding tests * Add tokenization test file * Add PreTraining model test * Make style and quality * Make tokenization base tests work * Update docs * Add FastTokenizer tests * Fix fast tokenizer special tokens * Fix style and quality * Remove load_tf_weights vestiges * Add FNet to main README * Fix configuration example indentation * Comment tokenization slow test * Fix style * Add changes from review * Fix style * Remove bos and eos tokens from tokenizers * Add tokenizer slow test, TPU transforms, NSP * Add scipy check * Add scipy availabilty check to test * Fix tokenizer and use correct inputs * Remove remaining TODOs * Fix tests * Fix tests * Comment Fourier Test * Uncomment Fourier Test * Change to google checkpoint * Add changes from review * Fix activation function * Fix model integration test * Add more integration tests * Add comparison steps to MLM integration test * Fix style * Add masked tokenization fix * Improve mask tokenization fix * Fix index docs * Add changes from review * Fix issue * Fix failing import in test * some more fixes * correct fast tokenizer * finalize * make style * Remove additional tokenization logic * Set do_lower_case to False * Allow keeping accents * Fix tokenization test * Fix FNet Tokenizer Fast * fix tests * make style * Add tips to FNet docs Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com> |
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Li-Huai (Allan) Lin
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18447c206d
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Enable automated model list copying for localized READMEs (#13465)
* Complete basic mechanism * Save * Complete everything * Style & Quality * Update READMEs * Add testing * Fix README.md format * Apply suggestions * Fix format * Update utils/check_copies.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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4766e009b0
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Improve T5 docs (#13240)
* Remove disclaimer * First draft * Fix rebase * Improve docs some more * Add inference section * Improve example scripts section * Improve code examples of modeling files * Add docs regarding task prefix * Address @craffel's comments * Apply suggestions from @patrickvonplaten's review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Add suggestions from code review * Apply @sgugger's suggestions * Fix Flax code examples * Fix index.rst Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Patrick von Platen
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0b8c84e110
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Add SpeechEncoderDecoder & Speech2Text2 (#13186)
* fix_torch_device_generate_test * remove @ * up * correct some bugs * correct model * finish speech2text extension * up * up * up * up * Update utils/custom_init_isort.py * up * up * update with tokenizer * correct old tok * correct old tok * fix bug * up * up * add more tests * up * fix docs * up * fix some more tests * add better config * correct some more things " * fix tests * improve docs * Apply suggestions from code review * Apply suggestions from code review * final fixes * finalize * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * apply suggestions Lysandre and Sylvain * apply nicos suggestions * upload everything * finish Co-authored-by: Patrick von Platen <patrick@huggingface.co> Co-authored-by: your_github_username <your_github_email> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
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Stella Biderman
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c02cd95c56
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GPT-J-6B (#13022)
* Test GPTJ implementation * Fixed conflicts * Update __init__.py * Update __init__.py * change GPT_J to GPTJ * fix missing imports and typos * use einops for now (need to change to torch ops later) * Use torch ops instead of einsum * remove einops deps * Update configuration_auto.py * Added GPT J * Update gptj.rst * Update __init__.py * Update test_modeling_gptj.py * Added GPT J * Changed configs to match GPT2 instead of GPT Neo * Removed non-existent sequence model * Update configuration_auto.py * Update configuration_auto.py * Update configuration_auto.py * Update modeling_gptj.py * Update modeling_gptj.py * Progress on updating configs to agree with GPT2 * Update modeling_gptj.py * num_layers -> n_layer * layer_norm_eps -> layer_norm_epsilon * attention_layers -> num_hidden_layers * Update modeling_gptj.py * attention_pdrop -> attn_pdrop * hidden_act -> activation_function * Update configuration_gptj.py * Update configuration_gptj.py * Update configuration_gptj.py * Update configuration_gptj.py * Update configuration_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * Update modeling_gptj.py * fix layernorm and lm_head size delete attn_type * Update docs/source/model_doc/gptj.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * removed claim that GPT J uses local attention * Removed GPTJForSequenceClassification * Update src/transformers/models/gptj/configuration_gptj.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Removed unsupported boilerplate * Update tests/test_modeling_gptj.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update tests/test_modeling_gptj.py Co-authored-by: Eric Hallahan <eric@hallahans.name> * Update tests/test_modeling_gptj.py Co-authored-by: Eric Hallahan <eric@hallahans.name> * Update tests/test_modeling_gptj.py Co-authored-by: Eric Hallahan <eric@hallahans.name> * Update src/transformers/models/gptj/modeling_gptj.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update __init__.py * Update configuration_gptj.py * Update modeling_gptj.py * Corrected indentation * Remove stray backslash * Delete .DS_Store * Delete .DS_Store * Delete .DS_Store * Delete .DS_Store * Delete .DS_Store * Update docs to match * Remove tf loading * Remove config.jax * Remove stray `else:` statement * Remove references to `load_tf_weights_in_gptj` * Adapt tests to match output from GPT-J 6B * Apply suggestions from code review Co-authored-by: Suraj Patil <surajp815@gmail.com> * Default `activation_function` to `gelu_new` - Specify the approximate formulation of GELU to ensure parity with the default setting of `jax.nn.gelu()` * Fix part of the config documentation * Revert "Update configuration_auto.py" This reverts commit |
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Lysandre
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d12bbe4942 | Release: v4.10.0 | ||
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NielsRogge
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b6ddb08a66
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Add LayoutLMv2 + LayoutXLM (#12604)
* First commit * Make style * Fix dummy objects * Add Detectron2 config * Add LayoutLMv2 pooler * More improvements, add documentation * More improvements * Add model tests * Add clarification regarding image input * Improve integration test * Fix bug * Fix another bug * Fix another bug * Fix another bug * More improvements * Make more tests pass * Make more tests pass * Improve integration test * Remove gradient checkpointing and add head masking * Add integration test * Add LayoutLMv2ForSequenceClassification to the tests * Add LayoutLMv2ForQuestionAnswering * More improvements * More improvements * Small improvements * Fix _LazyModule * Fix fast tokenizer * Move sync_batch_norm to a separate method * Replace dummies by requires_backends * Move calculation of visual bounding boxes to separate method + update README * Add models to main init * First draft * More improvements * More improvements * More improvements * More improvements * More improvements * Remove is_split_into_words * More improvements * Simply tesseract - no use of pandas anymore * Add LayoutLMv2Processor * Update is_pytesseract_available * Fix bugs * Improve feature extractor * Fix bug * Add print statement * Add truncation of bounding boxes * Add tests for LayoutLMv2FeatureExtractor and LayoutLMv2Tokenizer * Improve tokenizer tests * Make more tokenizer tests pass * Make more tests pass, add integration tests * Finish integration tests * More improvements * More improvements - update API of the tokenizer * More improvements * Remove support for VQA training * Remove some files * Improve feature extractor * Improve documentation and one more tokenizer test * Make quality and small docs improvements * Add batched tests for LayoutLMv2Processor, remove fast tokenizer * Add truncation of labels * Apply suggestions from code review * Improve processor tests * Fix failing tests and add suggestion from code review * Fix tokenizer test * Add detectron2 CI job * Simplify CI job * Comment out non-detectron2 jobs and specify number of processes * Add pip install torchvision * Add durations to see which tests are slow * Fix tokenizer test and make model tests smaller * Frist draft * Use setattr * Possible fix * Proposal with configuration * First draft of fast tokenizer * More improvements * Enable fast tokenizer tests * Make more tests pass * Make more tests pass * More improvements * Addd padding to fast tokenizer * Mkae more tests pass * Make more tests pass * Make all tests pass for fast tokenizer * Make fast tokenizer support overflowing boxes and labels * Add support for overflowing_labels to slow tokenizer * Add support for fast tokenizer to the processor * Update processor tests for both slow and fast tokenizers * Add head models to model mappings * Make style & quality * Remove Detectron2 config file * Add configurable option to label all subwords * Fix test * Skip visual segment embeddings in test * Use ResNet-18 backbone in tests instead of ResNet-101 * Proposal * Re-enable all jobs on CI * Fix installation of tesseract * Fix failing test * Fix index table * Add LayoutXLM doc page, first draft of code examples * Improve documentation a lot * Update expected boxes for Tesseract 4.0.0 beta * Use offsets to create labels instead of checking if they start with ## * Update expected boxes for Tesseract 4.1.1 * Fix conflict * Make variable names cleaner, add docstring, add link to notebooks * Revert "Fix conflict" This reverts commit a9b46ce9afe47ebfcfe7b45e6a121d49e74ef2c5. * Revert to make integration test pass * Apply suggestions from @LysandreJik's review * Address @patrickvonplaten's comments * Remove fixtures DocVQA in favor of dataset on the hub Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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Ori Ram
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cf57447648
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Fix broken links in Splinter documentation (#13237) | ||
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Ori Ram
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439a43b6b4
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Add splinter (#12955)
* splinter template * initialize splinter classes * Splinter Tokenizer * splinter.rst * tokenization fixes * Documentation & some minor variable name changes * bug fix (added back question_token_id to config) + variable names * Minor bug fixes + variable name changes * Fix Splinter references after merge with new transformers * changes after running make style & quality * Fix documentation unindent * Fix doc indentation in tokenization_splinter * Fix also SplinterTokenizerFast * Add Splinter to index.rst and README * Fixdouble whitespace from index.rst * Fixed index.rst with 'make fix-copies' * Update docs/source/model_doc/splinter.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/splinter.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/splinter.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/splinter.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update src/transformers/models/splinter/__init__.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Added "copied from BERT" comments * Removing unnexessary code from modeling_splinter * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/splinter/configuration_splinter.py Co-authored-by: Suraj Patil <surajp815@gmail.com> * Remove references to TF modeling from splinter * Update src/transformers/models/splinter/modeling_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Remove unnecessary check * Update src/transformers/models/splinter/modeling_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add differences between Splinter and Bert tokenizers * Update src/transformers/models/splinter/modeling_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/splinter/tokenization_splinter_fast.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Remove unnecessary check * Doc formatting * Update src/transformers/models/splinter/tokenization_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/splinter/tokenization_splinter.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * bug fix: remove load_tf_weights attribute * Some minor quality changes * Update docs/source/model_doc/splinter.rst Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update src/transformers/models/splinter/configuration_splinter.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Change FullyConnectedLayer to SplinterFullyConnectedLayer * Variable naming * Reove gather_positions function * Remove ClassificationHead as it's outdated * Update src/transformers/models/splinter/modeling_splinter.py Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Remove hardcoded 102 token id * Minor style change * Added "tau" organization to all model identifiers & URLS * Added tau to the tests as well * Copy-from comments * Removed all unnecessary classes (e.g. SplinterForMaskedLM) * Running make fix-copies * Bug fix: Further removed unnecessary classes * Add Splinter to AutoTokenization * Add an integration test for Splinter * Removed initialize_new_qass from config - It will be done through different checkpoints * Removed `initialize_new_qass` from documentation as well * Added new checkpoint names (`tau/splinter-base-qass` and same for large) in the code * Minor change to test * SplinterTokenizer now doesn't abstract from BertTokenizer * SplinterTokenizerFast also dosn't abstract from Bert * style and quality * bug fix: import ing torch in tests only if it's available * Auto mappings * Changed copyrights in Splinter's files * Update src/transformers/models/splinter/configuration_splinter.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: yuvalkirstain <kirstain.yuval@gmail.com> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
||
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NielsRogge
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83e5a10603
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Add BEiT (#12994)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Thibault FEVRY
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434022adac
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Add RemBERT model code to huggingface (#10692)
* Faster list concat for trainer_pt_utils.get_length_grouped_indices() (#11825)
get_length_grouped_indices() in LengthGroupedSampler and DistributedLengthGroupedSampler
is prohibitively slow for large number of megabatches (in test case takes hours for ~270k
megabatches with 100 items each) due to slow list concatenation with sum(megabatches, []).
Resolves: #11795
Co-authored-by: ctheodoris <cvtheodo@ds.dfci.harvard.edu>
* Replace double occurrences as the last step (#11367)
* [Flax] Fix PyTorch import error (#11839)
* fix_torch_device_generate_test
* remove @
* change pytorch import to flax import
* Fix reference to XLNet (#11846)
* Switch mem metrics flag (#11851)
* Switch mem metrics flag
* Update src/transformers/training_args.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
* Fix flos single node (#11844)
* fixing flos bug/typo in non-distributed setting
* storing flos every logging_interval
* Fix two typos in docs (#11852)
* typo2
* fix typo
* [Trainer] Report both steps and num samples per second (#11818)
* [Trainer] Report both steps and num samples per second
* Fix batch number
* Update src/transformers/trainer_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
* Address review comments
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
* Add some tests to the slow suite #11860
* Enable memory metrics in tests that need it (#11859)
* fixed a small typo in the doc (#11856)
* typo (#11858)
* Add option to log only once in multinode training (#11819)
* Add option to long only once in multinode training
* Use an alternate property
* [Wav2Vec2] SpecAugment Fast (#11764)
* first try
* finish
* [lm examples] fix overflow in perplexity calc (#11855)
* fix overflow in perplexity calc
* use inf
* fix
* [Examples] create model with custom config on the fly (#11798)
* create custom model on the flight
* better wording
* add update_from_string
* cleanup
* cleanup
* Update src/transformers/configuration_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* more bool options
* style
* fix logger
* add test
* add the doc
* assert on conflict of options
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [Wav2Vec2ForCTC] example typo fixed (#11878)
* Ensure input tensor are on device. (#11874)
The feature extractor does not create tensors on the appropriate device,
so we call `ensure_tensor_on_device` before feeding the processed inputs
to the model.
* Fix usage of head masks by TF encoder-decoder models' `generate()` function (#11775)
* Fix Bart
* Fix Blenderbot{,_small}
* Fix LED
* Fix Marian
* Fix MBart
* Fix Pegasus
* Fix T5
* Add test for generation with head_mask
* Add a common TF test
* Override a test for the LED model as head masking is not yet properly implemented
* Remove all head_masks from input preparation for LED
* Drop masking for T5 as it needs a bit of refactor
* Correcting comments in T5Stack to reflect correct tuple order (#11330)
* Correcting comments to reflect correct tuple order
In order to match the actual order (line 513 and 516, and as accessed in 968), I've changed the order mentioned in comments L962 and L966-967.
* Update modeling_t5.py
Updating another comment as well
* Removing extra space
* Fixing style and quality
* style & quality
* Update src/transformers/models/t5/modeling_t5.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* [Flax] Allow dataclasses to be jitted (#11886)
* fix_torch_device_generate_test
* remove @
* change dataclasses to flax ones
* fix typo
* fix jitted tests
* fix bert & electra
* changing find_batch_size to work with tokenizer outputs (#11890)
* changing find_batch_size to work with tokenizer outputs
trainer_pt_utils.find_batch_size does not recognize the batch size of BatchEncoding objects. This can cause an error when a trainer relies on find_batch_size to report the number of observed examples in the evaluation loop.
* Trigger CI
Co-authored-by: jrenner <joseph.renner@inria.fr>
* Link official Cloud TPU JAX docs (#11892)
* Flax Generate (#11777)
* fix_torch_device_generate_test
* remove @
* add
* indexing
* correct a couple of tests
* fix tests
* add logits processor
* finish top_k, top_p, temp
* add docs
* correct flax prng key default
* improve generate
* add generation docs
* add docs
* make style
* revert model outputs change
* make style
* correct typo
* fix tests
* fix slow test
* add raise
* finish generation
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
* Add Emotion Speech Noteboook (#11900)
* Update deepspeed config to reflect hyperparameter search parameters (#11896)
* rebuild deepspeed config for hyperparameter search
* reformat code to fix style issues
* Adding new argument `max_new_tokens` for generate. (#11476)
* Adding new argument `max_new_tokens` for generate.
This is a proposal to add a new argument `max_new_tokens` to `generate`.
This include a `MaxNewTokensCriteria` that enables callers that don't
know about the token length ahead (like pipelines callers) to manage
more easily the length of their generated output.
* Adding a test for the user warning when both`max_length` and
`max_new_tokens` are used together.
* Removed redundant `no_grad`.
* Added Sequence Classification class in GPTNeo (#11906)
* seq classification changes
* fix tests
* [Flax] Return Attention from BERT, ELECTRA, RoBERTa and GPT2 (#11918)
* Added logic to return attention from flax-bert model and added test cases to check that
* Added new line at the end of file to test_modeling_flax_common.py
* fixing code style
* Fixing Roberta and Elextra models too from cpoying bert
* Added temporary hack to not run test_attention_outputs for FlaxGPT2
* Returning attention weights from GPT2 and changed the tests accordingly.
* last fixes
* bump flax dependency
Co-authored-by: jayendra <jayendra@infocusp.in>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Test optuna and ray (#11924)
* Remove `datasets` submodule
* fix assert (#11935)
* Remove redundant `nn.log_softmax` in `run_flax_glue.py` (#11920)
* Remove redundant `nn.log_softmax` in `run_flax_glue.py`
`optax.softmax_cross_entropy` expects unnormalized logits, and so it already calls `nn.log_softmax`, so I believe it is not needed here. `nn.log_softmax` is idempotent so mathematically it shouldn't have made a difference.
* Remove unused 'flax.linen' import
* Add MT5ForConditionalGeneration as supported arch. to summarization README (#11961)
* Add MT5ForConditionalGeneration as supported arch.
* Update README.md
* Add FlaxCLIP (#11883)
* 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
* RAG-2nd2end-revamp (#11893)
* initial
* code quality test
* code quality
* added test functions in test_modeling_rag.py and test_retrieval_rag.py to test end2end retreiver
* minor change in test_modeling_rag
* fixed tests
* Update examples/research_projects/rag-end2end-retriever/README.md
typo corrected as suggested by lhoestq
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* Update examples/research_projects/rag-end2end-retriever/finetune_rag.py
type change suggested by lhoestq
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* Update src/transformers/models/rag/retrieval_rag.py
Adding this change as mentioned by lhoestq.
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* completed the minor changes suggested by the reviewers
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
* modify qa-trainer (#11872)
* modify qa-trainer
* fix flax model
* bugfixes training_args.py (#11922)
modified according to:
https://pytorch.org/xla/release/1.8.1/_modules/torch_xla/core/xla_model.html
* reinitialize wandb config for each hyperparameter search run (#11945)
* Add regression tests for slow sentencepiece tokenizers. (#11737)
* add test_vocab_size for sentencepiece tok.
* add test_get_vocab for sentencepiece tok.
* add test_convert_token_and_id for sentencepiece tok.
* add test_tokenize_and_convert_tokens_to_string for all tok.
* improve test_tokenize_and_convert_tokens_to_string for sp. tok.
* add common tokenizer integration tests
- for albert
- for barthez
* add tokenizer integration tests to bert gen.
* add most tokenizer integration tests
* fix camembert tokenizer integration test
* add tokenizer integration test to marian
* add tokenizer integration test to reformer
* add typing and doc to tokenizer_integration_test_util
* fix tokenizer integration test of reformer
* improve test_sentencepiece_tokenize_and_convert_tokens_to_string
* empty commit to trigger CI
* fix tokenizer integration test of reformer
* remove code not needed anymore
* empty commit to trigger CI
* empty commit to trigger CI
* Authorize args when instantiating an AutoModel (#11956)
* Neptune.ai integration (#11937)
An option that turns on neptune.ai logging
--report_to 'neptune'
Additional ENV variables:
NEPTUNE_PROJECT
NEPTUNE_API_TOKEN
NEPTUNE_RUN_NAME (optional)
NEPTUNE_STOP_TIMEOUT (optional)
* Run the integration tests on schedule tests instead of master tests
* [deepspeed] docs (#11940)
* deepspeed docs
* cleanup
* cleanup
* typo correction (#11973)
* typo correction
* type corrections
* ByT5 model (#11971)
* allow tf to use uneven num of layers
* add tokenizer
* finish docs
* finish docs
* Apply suggestions from code review
* include in index
* finish
* Update docs/source/model_doc/byt5.rst
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* apply sylvais suggestions
* make style
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
* Typo in usage example, changed to device instead of torch_device (#11979)
* [DeepSpeed] decouple `DeepSpeedConfigHF` from `Trainer` (#11966)
* decouple DeepSpeedConfigHF from Trainer
* add LoggingLevel ctx manager; add new test
* cleanup
* add docs
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* implemented suggested renames
* formatter workaround
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [Trainer] add train loss and flops metrics reports (#11980)
* add train loss and flops metrics reports
* consistency
* add train_loss to skip keys
* restore on_train_end call timing
* Bump urllib3 from 1.25.8 to 1.26.5 in /examples/research_projects/lxmert (#11983)
Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.25.8 to 1.26.5.
- [Release notes](https://github.com/urllib3/urllib3/releases)
- [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst)
- [Commits](https://github.com/urllib3/urllib3/compare/1.25.8...1.26.5)
---
updated-dependencies:
- dependency-name: urllib3
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* [RAG] Fix rag from pretrained question encoder generator behavior (#11962)
* fix_torch_device_generate_test
* remove @
* fix rag from pretrained loading
* add test
* uplaod
* finish
* VisualBERT (#10534)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update tests/test_modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add changes from review
* Remove convert run script
* Add changes from review
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/visual_bert/modeling_visual_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add changes from review
* Add changes from review
* Add visual embedding example in docs
* Fix "copied from" comments
* Add changes from review
* Fix error, style, checkpoints
* Update docs
* Fix integration tests
* Fix style
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Fix examples (#11990)
* [docs] fix xref to `PreTrainedModel.generate` (#11049)
* fix xref to generate
* do the same for search methods
* style
* style
* Update return introduction (#11976)
Make it clear that the `forward` method now returns a dict instead of tuple.
Fix style
* [deepspeed] Move code and doc into standalone files (#11984)
* move code and docs
* style
* moved
* restore
* [deepspeed] add nvme test skip rule (#11997)
* add nvme skip rule
* fix
* Fix weight decay masking in `run_flax_glue.py` (#11964)
* Fix weight decay masking in `run_flax_glue.py`
Issues with the previous implementation:
- The `dict` from `traverse_util.flatten_dict` has keys which are tuples of strings, not one long string with the path separated by periods.
- `optax.masked` applies the transformation wherever the mask is True, so the masks are flipped.
- Flax's LayerNorm calls the scale parameter `scale` not `weight`
* Fix formatting with black
* adapt results
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
* [Flax] Refactor MLM (#12013)
* fix_torch_device_generate_test
* remove @
* finish refactor
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
* [Deepspeed] Assert on mismatches between ds and hf args (#12021)
* wip
* add mismatch validation + test
* renames
* Update docs/source/main_classes/deepspeed.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* renames
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [TrainerArguments] format and sort __repr__, add __str__ (#12018)
* format and sort __repr__, add __str__
* typo
* use __str__ directly
* alias __repr__ = __str__
* Fixed Typo in modeling_bart.py (#12035)
* Fixed Typo in modeling_bart.py - Issue #11895
* Fixed Typo in modeling_bart.py
* fix deberta 2 tokenizer integration test (#12017)
* fix docs of past_key_values (#12049)
* [JAX] Bump jax lib (#12053)
* fix_torch_device_generate_test
* remove @
* bump up jax lib
* Fixes bug that appears when using QA bert and distilation. (#12026)
* Fixing bug that appears when using distilation (and potentially other uses).
During backward pass Pytorch complains with:
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation
This happens because the QA model code modifies the start_positions and end_positions input tensors, using clamp_ function: as a consequence the teacher and the student both modifies the inputs, and backward pass fails.
* Fixing all models QA clamp_ bug.
* Extend pipelines for automodel tupels (#12025)
* fix_torch_device_generate_test
* remove @
* finish
* refactor
* add test
* fix test
* Attempt at simplification.
* Small fix.
* Fixing non existing AutoModel for TF.
* Naming.
* Remove extra condition.
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
* Add optional grouped parsers description to HfArgumentParser (#12042)
* Adding optional argument group to HfArgumentParser
* Minor
* remove whitespace
* Minor styling
* adds metric prefix. (#12057)
* adds metric prefix.
* update tests to include prefix
* skip failing test (#12059)
* Fix integration tests (#12066)
* Fix tapas issue (#12063)
* Fix scatter function to be compatible with torch-scatter 2.7.0
* Allow test again
* updated the original RAG implementation to be compatible with latest Pytorch-Lightning (#11806)
* updated the original RAG implementation to be compatible with the latest PL version
* updated the requirements.txt file
* execute make style
* code quality test
* code quality
* conflix resolved in requirement.txt
* code quality
* changed the MyDDP class name to CustomDDP
* Replace legacy tensor.Tensor with torch.tensor/torch.empty (#12027)
* Replace legacy torch.Tensor constructor with torch.{tensor, empty}
* Remove torch.Tensor in examples
* Add torch to requirements.txt in language-modeling (#12040)
* Add torch to requirements.txt in language-modeling
* Update examples/pytorch/language-modeling/requirements.txt
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Properly indent block_size (#12070)
* [Deepspeed] various fixes (#12058)
* replace deprecated config
* sub_group_size was too big
* complete deprecation removal
* [Deepspeed Wav2vec2] integration (#11638)
* wip
* wip - but working with https://github.com/microsoft/DeepSpeed/pull/1044
* cleanup
* workaround
* working 5/8 modes
* solve fp32 distributed zero3
* style
* sync
* sync
* rework
* deprecation
* cleanup
* https://github.com/microsoft/DeepSpeed/pull/1044 pr was merged
* clean up
* add a guide
* more prose
* more prose
* fix
* more prose
* sub_group_size was too big
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* refactor
* bug fix
* make the true check explicit
* new deepspeed release
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* typo
* Update run_ner.py with id2label config (#12001)
* sync LayerDrop for Wav2Vec2Encoder + tests (#12076)
* Add DETR (#11653)
* 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 testsé
* 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>
* [test] support more than 2 gpus (#12074)
* support more than 2 gpus
* style
* Wav2Vec2 Pretraining (#11306)
* Working quantizer forward
* Working quantizer forward
* Clean up unused model parts, test reproducibility
* Working quantizer forward
* Clean up unused model parts, test reproducibility
* Remove custom outputs from the shared ones
* correct conversion
* correct bug
* add first pretrain script
* save intermediate
* static shapes
* save intermediate
* finish first pretrain script version
* more refactor
* remove wanddb
* refactor more
* improve test
* correct perplexity compute bug
* finish model implementation
* add to docs
* finish docs
* finish pretraining script
* finish pretraining script
* remove wandb
* finish PR for merge
* finish config
* finish
* make deepspeed work
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* apply suggestions
* fix flaky test
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* pass decay_mask fn to optimizer (#12087)
* rm require_version_examples (#12088)
* [Wav2Vec2ForPretraining] Correct checkpoints wav2vec2 & fix tests (#12089)
* fix_torch_device_generate_test
* remove @
* fix tests
* Add text_column_name and label_column_name to run_ner and run_ner_no_trainer args (#12083)
* Add text_column_name and label_column_name to run_ner args
* Minor fix: grouping for text and label column name
* CLIPFeatureExtractor should resize images with kept aspect ratio (#11994)
* Resize with kept aspect ratio
* Fixed failed test
* Overload center_crop and resize methods instead
* resize should handle non-PIL images
* update slow test
* Tensor => tensor
Co-authored-by: patil-suraj <surajp815@gmail.com>
* New TF GLUE example (#12028)
* Pushing partially-complete new GLUE example
* First draft of the new TF GLUE example! Needs a little more testing to be sure but it's almost ready.
* Fix to the fit() call
* Bugfixes, making sure TPU and multi-GPU support is ready
* Remove logger line that depends on Pytorch
* Style pass
* Deleting old TF GLUE example
* Include label2id and id2label in the saved model config
* Don't clobber the existing model.config.label2id
* Style fixes
* Update examples/tensorflow/text-classification/run_glue.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Fix quality
* Update README.md to cover the TF GLUE example.
* Minor style edits
* Appending label2id and id2label to models to ensure inference works properly (#12102)
* Fix a condition in test_generate_with_head_masking (#11911)
* Fix a condition in test_generate_with_head_masking
* Fix usage of head_mask in bigbirg_pegasus
* Fix head masking for speech2text
* Resolve copy mismatch + drop unwanted print statement
* Fix the condition
* Flax VisionTransformer (#11951)
* adding vit for flax
* added test for Flax-vit and some bug-fixes
* overrided methods where variable changes were necessary for flax_vit test
* added FlaxViTForImageClassification for test
* Update src/transformers/models/vit/modeling_flax_vit.py
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* made changes suggested in PR
* Adding jax-vit models for autoimport
* swapping num_channels and height,width dimension
* fixing the docstring for torch-like inputs for VIT
* add model to main init
* add docs
* doc, fix-copies
* docstrings
* small test fixes
* fix docs
* fix docstr
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* style
Co-authored-by: jayendra <jayendra@infocusp.in>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add relevant description to tqdm in examples (#11927)
* add relevant `desc` in examples
* require_version datasets>=1.8.0
* Fix head masking generate tests (#12110)
* fix_torch_device_generate_test
* remove @
* fix tests
* Flax CLM script (#12023)
* first draft
* max_seq_length => block_size
* fix arg names
* fix typos
* fix loss calculation
* add max examples, fix train eval steps, metrics
* optimizer mask
* fix perpelexity, metric logging
* fix logging
* data_collator = > data_loader
* refactor loss_fn
* support single GPU
* pass distributed to write_metric
* fix jitting
* fix single device training
* fix single device metrics
* close inner progress bars once finished
* add overwrite_cache arg
* ifx dataset caching issue
* add more logs
* few small fixes,
* address nicholas suggestions
* fix docstr
* address patricks suggestions
* make flake happy
* pass new new_dropout_rng to apply_gradients
* reset train metrics after every epoc
* remove distributed logis, small fixes
* Add from_pretrained to dummy timm objects (#12097)
* Add from_pretrained to dummy timm
* Fix at the source
* Update utils/check_dummies.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Missing pretrained dummies
* Style
Co-authored-by: Sylvain Gugger <sylvain.gugger@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Fix t5 error message (#12136)
* Fix t5 error message
* Fix again
* Fix megatron_gpt2 attention block's causal mask (#12007)
* Fix megatron_gpt2 attention block's causal mask.
* compatibility with checkpoints created with recent versions of Megatron-LM
* added integration test for the released Megatron-GPT2 model
* code style changes
* added option to megatron conversion script to read from config file
Co-authored-by: Guido Novati <gnovati@nvidia.com>
* Add mlm pretraining xla torch readme (#12011)
* fix_torch_device_generate_test
* remove @
* upload
* Apply suggestions from code review
* Apply suggestions from code review
* Apply suggestions from code review
* Update examples/flax/language-modeling/README.md
* add more info
* finish
* fix
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
* add readme for flax clm (#12111)
* add readme for flax clm
* use section link for tokenizer
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* update metrics
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* FlaxBart (#11537)
* Start working on FlaxBart
* Create modeling_flax_bart.py
* Write FlaxBartAttention
* Add FlaxBartEncoderLayer
* Add FlaxBartDecoderLayer and some typing
* Add helepr function for FlaxBart
* shift_tokens_right
* _make_causal_mask
* _expand_mask
* Add PositionalEmbedding and fix init_std naming
* Add FlaxBartPretrainedModel
* Add FlaxBartEncoder
* Add FlaxBartEncoder
* Add FlaxBartEncoder among modules to be imported
* YET WE CANNOT INITIALIZE THAT!! :(
* Make BartEncoder working
Change BartEncoder to instance of nn.Module so far
* Add FlaxBartDecoder
* Add FlaxBartModel
* TODO to make model run -> Prepapre model inputs
* Resolve padding
* Add FlaxBartModel
* Add FlaxBartModel into importable modules
* Remove FlaxBartEncoder and FlaxBartDecoder from importable modules
* make style; not properly working
* make style; make quality not pass due to some import I left
* Remove TODO for padding_idx in nn.Embed so far
* Add FlaxBartForConditionalGeneration
* Incorporate Flax model output classes, i.e. return_dict
* Add another models and incorporate use_cache arg
* Add FlaxBartForSequenceClassification and FlaxBartForQuestionAnswering
* Incorporate use_cache arg from PyTorch implementation
* Add all necessary Flax output utils
* Add FlaxBartForCausalLM; not working yet'
* Add minor improvements; still lacks some functionality
* Update docs, src and tests
* Add support of FlaxBart to docs/source
* Fix some bugs in FlaxBart souce code
* Add some neccessary tests for FlaxBart models - jit_compilation not passing
* Fix tests and add test_head_masking
* Fix tests for @jax.jit computation
* Add test_head_masking
* Migrate FlaxBart tests from jax.numpy to numpy
* Remove FlaxBartForCausalLM
* Clean repo
* fix bart model weight structure
* Fix FlaxBartForSequenceClassification
Slicing is not possible to use below jit, therefore, selecting sentence
representation from hidden_states must be changed.
* Allow FlaxBartForSequenceClassification for testing pt_flax equivalence
* Allow testing for FlaxBartForQA for pt_flax equivalence
* Add a comment to FlaxBartForSequenceClassification + change noise from 1e-3 to 1e-6
* remove past_key_values
* remove inputs_mebeds and make input_ids required
* add position ids
* re-write attention layer
* fix dataclass
* fix pos embeds and attention output
* fix pos embeds
* expose encode method
* expose decode method
* move docstring to top
* add cache for causal attn layer
* remove head masking for now
* s2s greedy search first pass
* boom boom
* fix typos
* fix greedy generate for bart
* use encoder, decoder layers instead of num_hidden_layers
* handle encoder_outputs
* cleanup
* simplify decoding
* more clean-up
* typos
* Change header + add {decoder_,}position_ids into 2 models
* add BartConfig
* fix existing tests
* add encode, decode methods
* Fix shift_tokens_right for JIT compilation + clarify one condition
* fix decode
* encoder => encode
* simplify generate
* add tests for encode and decode
* style
* add tests for cache
* fix equivalence tests
* sample generate now works with seq2seq
* generation tests
* initialize dense layers
* docstring and cleanup
* quality
* remove get/set input_embeddings
* address Patricks suggestions
* decode for every model, remove encoder_outputs from call
* update tests accordingly
* decode returns only decoder outputs and logits
* fix arguments
* doc encode, decode methods
* correct base_model_prefix
* fix test for seq classif model
* fix docs
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* Feature to use the PreTrainedTokenizerFast class as a stand-alone tokenizer (#11810)
* feature for tokenizer without slow/legacy version
* format
* modify common test
* add tests
* add PreTrainedTokenizerFast to AutoTokenizer
* format
* change tokenizer common test in order to be able to run test without a slow version
* update tokenizer fast test in order to use `rust_tokenizer_class` attribute instead of `tokenizer_class`
* add autokenizer test
* replace `if self.tokenizer_class is not None` with ` if self.tokenizer_class is None`
* remove obsolete change in comment
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Update src/transformers/tokenization_utils_fast.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* change `get_main_tokenizer` into `get_tokenizers`
* clarify `get_tokenizers` method
* homogenize with `test_slow_tokenizer` and `test_rust_tokenizer`
* add `test_rust_tokenizer = False` to tokenizer which don't define a fast version
* `test_rust_tokenizer = False` for BertJapaneseTokenizer
* `test_rust_tokenizer = False` for BertJapaneseCharacterTokenizationTest
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [Flax] Add links to google colabs (#12146)
* fix_torch_device_generate_test
* remove @
* add colab links
* Don't log anything before logging is setup in examples (#12121)
* Don't log anything before logging is setup in examples
* Last example
* Use text_column_name variable instead of "text" (#12132)
* Use text_column_name variable instead of "text"
`text_column_name` was already defined above where I made the changes and it was also used below where I made changes.
This is a very minor change. If a dataset does not use "text" as the column name, then the `tokenize_function` will now use whatever column is assigned to `text_column_name`. `text_column_name` is just the first column name if "text" is not a column name. It makes the function a little more robust, though I would assume that 90% + of datasets use "text" anyway.
* black formatting
* make style
Co-authored-by: Nicholas Broad <nicholas@nmbroad.com>
* [lm examples] Replicate --config_overrides addition to other LM examples (#12135)
* [lm examples] Replicate --config_overrides addition to other LM examples
* Removing no trainer files changes
* Update README
Co-authored-by: Kumar Abhishek <kabhishek@expedia.com>
* fix error message (#12148)
* [optim] implement AdafactorSchedule (#12123)
* implement AdafactorSchedule
* typo
* fix
* Update src/transformers/optimization.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [style] consistent nn. and nn.functional (#12124)
* consistent nn. and nn.functional
* fix glitch
* fix glitch #2
* Adding TFWav2Vec2Model (#11617)
* [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: Patrick von Platen <patrick.v.platen@gmail.com>
* make style
* correct final bug
* Feedback Changes
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* [Flax] Fix flax pt equivalence tests (#12154)
* fix_torch_device_generate_test
* remove @
* upload
* consistent nn. and nn.functional: p2 templates (#12153)
* Flax Big Bird (#11967)
* add flax bert
* bert -> bigbird
* original_full ported
* add debugger
* init block sparse
* fix copies ; gelu_fast -> gelu_new
* block sparse port
* fix block sparse
* block sparse working
* all ckpts working
* fix-copies
* make quality
* init tests
* temporary fix for FlaxBigBirdForMultipleChoice
* skip test_attention_outputs
* fix
* gelu_fast -> gelu_new ; fix multiple choice model
* remove nsp
* fix sequence classifier
* fix
* make quality
* make fix-copies
* finish
* Delete debugger.ipynb
* Update src/transformers/models/big_bird/modeling_flax_big_bird.py
* make style
* finish
* bye bye jit flax tests
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* [style] consistent nn. and nn.functional: part 3 `tests` (#12155)
* consistent nn. and nn.functional: p3 templates
* restore
* [style] consistent nn. and nn.functional: part 4 `examples` (#12156)
* consistent nn. and nn.functional: p4 examples
* restore
* consistent nn. and nn.functional: part 5 docs (#12161)
* Add video links to the documentation (#12162)
* [Flax generate] Add params to generate (#12171)
* fix_torch_device_generate_test
* remove @
* add params as input
* finish
* Use a released version of optax rather than installing from Git. (#12173)
Use a released version of optax rather than installing from Git
* Have dummy processors have a `from_pretrained` method (#12145)
* Add course banner (#12157)
* Add course banner
* Update course banner
* Adjust banner width
* Enable add_prefix_space if model_type is roberta or gpt2 (#12116)
* Update AutoModel classes in summarization example (#12178)
- Convert use of deprecated AutoModelWithLMHead to AutoModelForSeq2SeqLM
- Add newly required `truncation=True` to `tokenizer.encode` with `max_length`
This silences all warnings.
* Ray Tune Integration Updates (#12134)
* fix
* fixes
* add back to scheduled tests
* formatting
* Update integrations.py
* [testing] ensure concurrent pytest workers use a unique port for torch.dist (#12166)
* ensure concurrent pytest workers use a unique port for torch.distributed.launch
* reword
* Model card defaults (#12122)
* [WIP] Model card defaults
* finetuned_from default value
* Add all mappings to the mapping file
* Be more defensive on finetuned_from arg
* Add default task tag
* Separate tags from tasks
* Edge case for dataset
* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Temporarily deactivate torch-scatter while we wait for new release (#12181)
* Temporarily deactivate torch-scatter while we wait for new release
* torch-1.8.1 binary for scatter
* Revert to 1.8.0
* Pin torch dependency
* torchaudio and torchvision
* Temporarily deactivate torchhub test (#12184)
* [Flax] Add Beam Search (#12131)
* fix_torch_device_generate_test
* remove @
* push new logit processors
* add processors
* save first working version
* save intermediate
* finish
* make style
* make fix-copies
* finish
* Update tests/test_modeling_flax_bart.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* Hubert (#11889)
* 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: Suraj Patil <surajp815@gmail.com>
* apply suggestions lysandre & suraj
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* updated DLC images and sample notebooks (#12191)
* Enabling AutoTokenizer for HubertConfig. (#12198)
* Use yaml to create metadata (#12185)
* Use yaml to create metadata
* Fix typo
* Remove pin
* [Docs] fixed broken link (#12205)
* fixed broken link
* Update docs/source/benchmarks.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update docs/source/benchmarks.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Pipeline update & tests (#12207)
* Improve detr (#12147)
* Remove unused variables
* Improve docs
* Fix docs of segmentation masks
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Add link to the course (#12229)
* Support for torch 1.9.0 (#12224)
* Support for torch 1.9.0
* Torch scatter for 1.9.0
* Github Actions run on 1.9.0
* fix pt-1.9.0 `add_` deprecation (#12217)
* fix pt-1.9.0 add_ deprecation
* add () for clarity
* Trigger CI
* require_version(torch
* Release: v4.7.0
* Docs for v4.8.0
* AutoTokenizer: infer the class from the tokenizer config if possible (#12208)
* AutoTokenizer: infer the class from the tokenizer config if possible
* Add tests
* Update src/transformers/models/auto/tokenization_auto.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* update desc for map in all examples (#12226)
* update desc for map in all examples
* added plm
* suggestions
* [Flax] FlaxAutoModelForSeq2SeqLM (#12228)
* add FlaxAutoModelForSeq2SeqLM
* [FlaxBart] few small fixes (#12247)
* boom boom
* remove flax clip example
* few small fixes
* Depreciate pythonic Mish and support PyTorch 1.9 version of Mish (#12240)
* Moved Mish to Torch 1.9 version
* Run black formatting
* [t5 doc] make the example work out of the box (#12239)
* [run_clm.py] restore caching
* style
* [t5 doc] make the example work out of the box
This PR expands the training example to include the correct model type for the example to work, e.g. with `T5Model` this example will break.
* Update docs/source/model_doc/t5.rst
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* expand the other example
Co-authored-by: Suraj Patil <surajp815@gmail.com>
* Fix the scheduled CI
* Better CI feedback (#12279)
* Better run ID
* Only part of CI
* Revert "Only part of CI"
This reverts commit
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qqaatw
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2349ac58c4
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Translate README.md to Traditional Chinese (#12701)
* Add README_zh-tw.md * Add links to each README. * Fix a mismatched term. * Minor improvements. * Rename language code to be more inclusive. * Polish terms to make them fluent. * Remove redundant spaces. * Fix typo. |
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Kevin Canwen Xu
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9d771c5472
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Translate README.md to Simplified Chinese (#12596)
* README Translation for Chinese (Simplified) * update link * h3->h4 * html refactor * update model list * fix * Add a translation guide * format * update * typo * Refine wording |
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NielsRogge
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6e68597877
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Add CANINE (#12024)
* First pass * More progress * Add support for local attention * More improvements * More improvements * Conversion script working * Add CanineTokenizer * Make style & quality * First draft of integration test * Remove decoder test * Improve tests * Add documentation * Mostly docs improvements * Add CanineTokenizer tests * Fix most tests on GPU, improve upsampling projection * Address most comments by @dhgarrette * Remove decoder logic * Improve Canine tests, improve docs of CanineConfig * All tokenizer tests passing * Make fix-copies and fix tokenizer tests * Fix test_model_outputs_equivalence test * Apply suggestions from @sgugger's review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Address some more comments * Add support for hidden_states and attentions of shallow encoders * Define custom CanineModelOutputWithPooling, tests pass * First pass * More progress * Add support for local attention * More improvements * More improvements * Conversion script working * Add CanineTokenizer * Make style & quality * First draft of integration test * Remove decoder test * Improve tests * Add documentation * Mostly docs improvements * Add CanineTokenizer tests * Fix most tests on GPU, improve upsampling projection * Address most comments by @dhgarrette * Remove decoder logic * Improve Canine tests, improve docs of CanineConfig * All tokenizer tests passing * Make fix-copies and fix tokenizer tests * Fix test_model_outputs_equivalence test * Apply suggestions from @sgugger's review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Address some more comments * Make conversion script work for Canine-c too * Fix tokenizer tests * Remove file Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Patrick von Platen
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ccca510276
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Hubert (#11889)
* 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: Suraj Patil <surajp815@gmail.com> * apply suggestions lysandre & suraj Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Suraj Patil <surajp815@gmail.com> |
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Sylvain Gugger
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60b1d6b45b
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Add course banner (#12157)
* Add course banner * Update course banner |
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NielsRogge
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d3eacbb829
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Add DETR (#11653)
* 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 testsé * 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> |
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Gunjan Chhablani
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88ca6a231d
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VisualBERT (#10534)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update tests/test_modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add changes from review * Remove convert run script * Add changes from review * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/visual_bert/modeling_visual_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add changes from review * Add changes from review * Add visual embedding example in docs * Fix "copied from" comments * Add changes from review * Fix error, style, checkpoints * Update docs * Fix integration tests * Fix style Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Patrick von Platen
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47a98fc4cb
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ByT5 model (#11971)
* allow tf to use uneven num of layers * add tokenizer * finish docs * finish docs * Apply suggestions from code review * include in index * finish * Update docs/source/model_doc/byt5.rst Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * apply sylvais suggestions * make style Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
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yujun
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206f06f2dd
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Add new model RoFormer (use rotary position embedding ) (#11684)
* add roformer * Update docs/source/model_doc/roformer.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * Update docs/source/model_doc/roformer.rst Co-authored-by: Suraj Patil <surajp815@gmail.com> * update * add TFRoFormerSinusoidalPositionalEmbedding and fix TFMarianSinusoidalPositionalEmbedding * update docs * make style and make quality * roback * unchanged * rm copies from , this is a error in TFMarianSinusoidalPositionalEmbedding * update Copyright year * move # Add modeling imports here to the correct position * max_position_embeddings can be set to 1536 * # Copied from transformers.models.bert.modeling_bert.BertOutput with Bert->RoFormer * # Copied from transformers.models.bert.modeling_bert.BertLayer.__init__ with Bert->RoFormer * update tokenization_roformer * make style * add staticmethod apply_rotary_position_embeddings * add TF staticmethod apply_rotary_position_embeddings * update torch apply_rotary_position_embeddings * fix tf apply_rotary_position_embeddings error * make style * add pytorch RoFormerSelfAttentionRotaryPositionEmbeddingTest * add TF rotary_position_embeddings test * update test_modeling_rofomer * Update docs/source/model_doc/roformer.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/roformer/convert_roformer_original_tf_checkpoint_to_pytorch.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/roformer/modeling_roformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/roformer/modeling_roformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/roformer/modeling_tf_roformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * refact roformer tokenizer * add RoFormerTokenizerFast * add RoFormerTokenizationTest * add require_jieba * update Copyright * update tokenizer & add copy from * add option rotary_value * use rust jieba * use rjieba * use rust jieba * fix test_alignement_methods * slice normalized_string is too slow * add config.embedding_size when embedding_size!=hidden_size * fix pickle tokenizer * Update docs/source/model_doc/roformer.rst Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * make style and make quality Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Albert Villanova del Moral
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2582e59a57
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Add DOI badge to README (#11771) | ||
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Patrick von Platen
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cebb96f53a
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Add more subsections to main doc (#11758)
* add headers to main doc * Apply suggestions from code review * update * upload |
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Julien Chaumond
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0fc56df5fb
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Add visual + link to Premium Support webpage (#11740)
* Update README.md * Update index.rst |
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Suraj Patil
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f063c56d94
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Fix clip docs (#11694)
* fix doc url * fix example |
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Suraj Patil
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8719afa1ad
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CLIP (#11445)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix attribute test * style * address sylvains comments * style * fix docstrings * add qucik_gelu in activations, docstrings * clean-up attention test * fix act fun * fix config * fix torchscript tests * even batch_size * remove comment * fix ouput tu_tuple * fix save load tests * fix add tokens test * add fast tokenizer * update copyright * new processor API * fix docs * docstrings * docs * fix doc * fix doc * fix tokenizer * fix import in doc example * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * check types of config * valhalla => openai * load image using url * fix test * typo Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Matt
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b3429ab678
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Grammar and style edits for the frontpage README (#11679)
* Grammar and style edits for the frontpage README * Going all-in on em-dashes because you only live once * Update README.md Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Vasudev Gupta
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dc3f6758cf
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Add BigBirdPegasus (#10991)
* 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: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * complete remaining suggestions * fix test Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Suraj Patil <surajp815@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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NielsRogge
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f3cf8ae7b3
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Add LUKE (#11223)
* 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> |
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Sylvain Gugger
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2d27900b5d
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Update min versions in README and add Flax (#11472)
* Update min versions in README and add Flax * Adapt index |
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NielsRogge
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9f1260971f
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Add DeiT (PyTorch) (#11056)
* First draft of deit * More improvements * Remove DeiTTokenizerFast from init * Conversion script works * Add DeiT to ViT conversion script * Add tests, add head model, add support for deit in vit conversion script * Update model checkpoint names * Update image_mean and image_std, set resample to bicubic * Improve docs * Docs improvements * Add DeiTForImageClassificationWithTeacher to init * Address comments by @sgugger * Improve feature extractors * Make fix-copies * Minor fixes * Address comments by @patil-suraj * All models uploaded * Fix tests * Remove labels argument from DeiTForImageClassificationWithTeacher * Fix-copies, style and quality * Fix tests * Fix typo * Multiple docs improvements * More docs fixes |
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Kevin Canwen Xu
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fb41f9f50c
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Add a special tokenizer for CPM model (#11068)
* Add a special tokenizer for CPM model * make style * fix * Add docs * styles * cpm doc * fix ci * fix the overview * add test * make style * typo * Custom tokenizer flag * Add REAMDE.md Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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Julien Demouth
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02ec02d6d3
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Add nvidia megatron models (#10911)
* 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: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Remove model.half in tests + add "# Copied ..." Remove the model.half() instruction which makes tests fail on the CPU. Add a comment "# Copied ..." before many classes in the model to enable automatic tracking in CI between the new Megatron classes and the original Bert ones. * Fix issues * Fix Flax/TF tests * Fix copyright * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Update docs/source/model_doc/megatron_bert.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/model_doc/megatron_gpt2.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/__init__.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_gpt2/convert_megatron_gpt2_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/convert_megatron_bert_checkpoint.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/megatron_bert/modeling_megatron_bert.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Resolve most of 'sgugger' comments * Fix conversion issue + Run make fix-copies/quality/docs * Apply suggestions from code review * Causal LM & merge * Fix init * Add CausalLM to last auto class Co-authored-by: Julien Demouth <jdemouth@nvidia.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> |
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NielsRogge
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30677dc743
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Add Vision Transformer and ViTFeatureExtractor (#10950)
* Squash all commits into one
* Update ViTFeatureExtractor to use image_utils instead of torchvision
* Remove torchvision and add Pillow
* Small docs improvement
* Address most comments by @sgugger
* Fix tests
* Clean up conversion script
* Pooler first draft
* Fix quality
* Improve conversion script
* Make style and quality
* Make fix-copies
* Minor docs improvements
* Should use fix-copies instead of manual handling
* Revert "Should use fix-copies instead of manual handling"
This reverts commit
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Suraj Patil
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860264379f
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GPT Neo (#10848)
* lets begin * boom boom * fix out proj in attn * fix attention * fix local attention * add tokenizer * fix imports * autotokenizer * fix checkpoint name * cleanup * more clean-up * more cleanup * output attentions * fix attn mask creation * fix imports * config doc * add tests * add slow tests * quality * add conversion script * copyright * typo * another bites the dust * fix attention tests * doc * add embed init in convert function * fix copies * remove tokenizer * enable caching * address review comments * improve config and create attn layer list internally * more consistent naming * init hf config from mesh-tf config json file * remove neo tokenizer from doc * handle attention_mask in local attn layer * attn_layers => attention_layers * add tokenizer_class in config * fix docstring * raise if len of attention_layers is not same as num_layers * remove tokenizer_class from config * more consistent naming * fix doc * fix checkpoint names * fp16 compat * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Vasudev Gupta
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6dfd027279
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BigBird (#10183)
* init bigbird * model.__init__ working, conversion script ready, config updated * add conversion script * BigBirdEmbeddings working :) * slightly update conversion script * BigBirdAttention working :) ; some bug in layer.output.dense * add debugger-notebook * forward() working for BigBirdModel :) ; replaced gelu with gelu_fast * tf code adapted to torch till rand_attn in bigbird_block_sparse_attention ; till now everything working :) * BigBirdModel working in block-sparse attention mode :) * add BigBirdForPreTraining * small fix * add tokenizer for BigBirdModel * fix config & hence modeling * fix base prefix * init testing * init tokenizer test * pos_embed must be absolute, attn_type=original_full when add_cross_attn=True , nsp loss is optional in BigBirdForPreTraining, add assert statements * remove position_embedding_type arg * complete normal tests * add comments to block sparse attention * add attn_probs for sliding & global tokens * create fn for block sparse attn mask creation * add special tests * restore pos embed arg * minor fix * attn probs update * make big bird fully gpu friendly * fix tests * remove pruning * correct tokenzier & minor fixes * update conversion script , remove norm_type * tokenizer-inference test add * remove extra comments * add docs * save intermediate * finish trivia_qa conversion * small update to forward * correct qa and layer * better error message * BigBird QA ready * fix rebased * add triva-qa debugger notebook * qa setup * fixed till embeddings * some issue in q/k/v_layer * fix bug in conversion-script * fixed till self-attn * qa fixed except layer norm * add qa end2end test * fix gradient ckpting ; other qa test * speed-up big bird a bit * hub_id=google * clean up * make quality * speed up einsum with bmm * finish perf improvements for big bird * remove wav2vec2 tok * fix tokenizer * include docs * correct docs * add helper to auto pad block size * make style * remove fast tokenizer for now * fix some * add pad test * finish * fix some bugs * fix another bug * fix buffer tokens * fix comment and merge from master * add comments * make style * commit some suggestions Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Fix typos * fix some more suggestions * add another patch Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix copies * another path Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * update * update nit suggestions * make style Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
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Lysandre
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c988db5af2 | Release v4.4.0 | ||
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Patrick von Platen
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602d63f05c
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[XLSR-Wav2Vec2] Add multi-lingual Wav2Vec2 models (#10648)
* add conversion script * add wav2vec2 xslr models * finish * Update docs/source/model_doc/xlsr_wav2vec2.rst Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Suraj Patil
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d26b37e744
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Speech2TextTransformer (#10175)
* 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: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * fix docs, copied from, style * fix docstring * handle imports * remove speech from all extra deps * remove s2t from seq2seq lm mapping * better names * skip training tests * add install instructions * List => Tuple * doc * fix conversion script * fix urls * add instruction for libsndfile * fix fp16 test Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Suraj Patil
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f6e74a63ca
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Add m2m100 (#10236)
* 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 |
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Lysandre Debut
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0c2325198f
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Add I-BERT to README (#10462) | ||
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Lysandre Debut
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cd8c4c3fc2
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DeBERTa-v2 fixes (#10328)
Co-authored-by: Pengcheng He <penhe@microsoft.com> Co-authored-by: Pengcheng He <penhe@microsoft.com> |
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Pengcheng He
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9a7e63729f
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Integrate DeBERTa v2(the 1.5B model surpassed human performance on Su… (#10018)
* Integrate DeBERTa v2(the 1.5B model surpassed human performance on SuperGLUE); Add DeBERTa v2 900M,1.5B models; * DeBERTa-v2 * Fix v2 model loading issue (#10129) * Doc members * Update src/transformers/models/deberta/modeling_deberta.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Address Sylvain's comments * Address Patrick's comments Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Style Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> |
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Suraj Patil
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6fc940ed09
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Add mBART-50 (#10154)
* add tokenizer for mBART-50 * update tokenizers * make src_lang and tgt_lang optional * update tokenizer test * add setter * update docs * update conversion script * update docs * update conversion script * update tokenizer * update test * update docs * doc * address Sylvain's suggestions * fix test * fix formatting * nits |
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Sylvain Gugger
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6710d1d5ef | Typo fix | ||
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yylun
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5442a11f5f
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fix steps_in_epoch variable in trainer when using max_steps (#9969)
* fix steps_in_epoch variable when using max_steps
* redundant sentence
* Revert "redundant sentence"
This reverts commit
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Patrick von Platen
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d6217fb30c
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Wav2Vec2 (#9659)
* add raw scaffold * implement feat extract layers * make style * remove + * correctly convert weights * make feat extractor work * make feature extraction proj work * run forward pass * finish forward pass * Succesful decoding example * remove unused files * more changes * add wav2vec tokenizer * add new structure * fix run forward * add other layer norm architecture * finish 2nd structure * add model tests * finish tests for tok and model * clean-up * make style * finish docstring for model and config * make style * correct docstring * correct tests * change checkpoints to fairseq * fix examples * finish wav2vec2 * make style * apply sylvains suggestions * apply lysandres suggestions * change print to log.info * re-add assert statement * add input_values as required input name * finish wav2vec2 tokenizer * Update tests/test_tokenization_wav2vec2.py Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * apply sylvains suggestions Co-authored-by: Lysandre Debut <lysandre@huggingface.co> |
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Stas Bekman
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15e4ce353a
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[docs] expand install instructions (#9817)
* expand install instructions * fix * white space * rewrite as discussed in the PR * Apply suggestions from code review Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * change the wording to encourage issue report Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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Stefan Schweter
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5ed5a54684
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ADD BORT (#9813)
* tests: add integration tests for new Bort model
* bort: add conversion script from Gluonnlp to Transformers 🚀
* bort: minor cleanup (BORT -> Bort)
* add docs
* make fix-copies
* clean doc a bit
* correct docs
* Update docs/source/model_doc/bort.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update docs/source/model_doc/bort.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* correct dialogpt doc
* correct link
* Update docs/source/model_doc/bort.rst
* Update docs/source/model_doc/dialogpt.rst
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* make style
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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abhishek thakur
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f617490e71
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ConvBERT Model (#9717)
* 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
* 🙏🏽
* 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: Lysandre Debut <lysandre@huggingface.co>
* Update src/transformers/models/conv_bert/configuration_conv_bert.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Update docs/source/model_doc/conv_bert.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/auto/configuration_auto.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/models/conv_bert/configuration_conv_bert.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* conv_bert -> convbert
* more fixes from review
* add conversion script
* dont use pretrained embed
* unused config
* suggestions from julien
* some more fixes
* p -> param
* fix copyright
* fix doc
* Update src/transformers/models/convbert/configuration_convbert.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* comments from reviews
* fix-copies
* fix style
* revert shape_list
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
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Lysandre
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7d9a9d0c72 | Release: v4.2.0 | ||
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Patrick von Platen
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9e1ea846bc
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[README] Add new models (#9465)
* add new models * make fix-copies |
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Clement
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4eec5d0cf6
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improve readme text to private models/versioning/api (#9424) | ||
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Sylvain Gugger
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6d2e864db7
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Put all models in the constants (#9170)
* Put all models in the constants * Add Google AI mention in the main README |
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NielsRogge
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1551e2dc6d
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[WIP] Tapas v4 (tres) (#9117)
* First commit: adding all files from tapas_v3 * Fix multiple bugs including soft dependency and new structure of the library * Improve testing by adding torch_device to inputs and adding dependency on scatter * Use Python 3 inheritance rather than Python 2 * First draft model cards of base sized models * Remove model cards as they are already on the hub * Fix multiple bugs with integration tests * All model integration tests pass * Remove print statement * Add test for convert_logits_to_predictions method of TapasTokenizer * Incorporate suggestions by Google authors * Fix remaining tests * Change position embeddings sizes to 512 instead of 1024 * Comment out positional embedding sizes * Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES * Added more model names * Fix truncation when no max length is specified * Disable torchscript test * Make style & make quality * Quality * Address CI needs * Test the Masked LM model * Fix the masked LM model * Truncate when overflowing * More much needed docs improvements * Fix some URLs * Some more docs improvements * Test PyTorch scatter * Set to slow + minify * Calm flake8 down * First commit: adding all files from tapas_v3 * Fix multiple bugs including soft dependency and new structure of the library * Improve testing by adding torch_device to inputs and adding dependency on scatter * Use Python 3 inheritance rather than Python 2 * First draft model cards of base sized models * Remove model cards as they are already on the hub * Fix multiple bugs with integration tests * All model integration tests pass * Remove print statement * Add test for convert_logits_to_predictions method of TapasTokenizer * Incorporate suggestions by Google authors * Fix remaining tests * Change position embeddings sizes to 512 instead of 1024 * Comment out positional embedding sizes * Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES * Added more model names * Fix truncation when no max length is specified * Disable torchscript test * Make style & make quality * Quality * Address CI needs * Test the Masked LM model * Fix the masked LM model * Truncate when overflowing * More much needed docs improvements * Fix some URLs * Some more docs improvements * Add add_pooling_layer argument to TapasModel Fix comments by @sgugger and @patrickvonplaten * Fix issue in docs + fix style and quality * Clean up conversion script and add task parameter to TapasConfig * Revert the task parameter of TapasConfig Some minor fixes * Improve conversion script and add test for absolute position embeddings * Improve conversion script and add test for absolute position embeddings * Fix bug with reset_position_index_per_cell arg of the conversion cli * Add notebooks to the examples directory and fix style and quality * Apply suggestions from code review * Move from `nielsr/` to `google/` namespace * Apply Sylvain's comments Co-authored-by: sgugger <sylvain.gugger@gmail.com> Co-authored-by: Rogge Niels <niels.rogge@howest.be> Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr> Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: sgugger <sylvain.gugger@gmail.com> |
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StillKeepTry
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df2af6d8b8 | Add MP Net 2 (#9004) |