"docs/source/en/preprocessing.mdx" did not exist on "3bc7d70e9c8605c95a01135fc5edffec3c1fa6bd"
- 02 Mar, 2022 7 commits
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Joao Gante authored
* Add TF logits wrappers * Add sample method * add tests for TF logit wrappers * TF generate sample tests now run on CPU Co-authored-by:Matt <Rocketknight1@users.noreply.github.com>
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Sanchit Gandhi authored
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Francesco Saverio Zuppichini authored
* maskformer * conflicts * conflicts * minor fixes * feature extractor test fix refactor MaskFormerLoss following conversation MaskFormer related types should not trigger a module time import error missed one removed all the types that are not used update config mapping minor updates in the doc resolved conversation that doesn't need a discussion minor changes resolved conversations fixed DetrDecoder * minor changes minor changes fixed mdx file test feature_extractor return types functional losses -> classes removed the return type test for the feature extractor minor changes + style + quality * conflicts? * rebase master * readme * added missing files * deleded poolformers test that where in the wrong palce * CI * minor changes * Apply suggestions from code review Co-authored-by:
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:
ydshieh <ydshieh@users.noreply.github.com> [examples/summarization and translation] fix readme (#15833) Add ONNX Runtime quantization for text classification notebook (#15817) Re-enable doctests for the quicktour (#15828) * Re-enable doctests for the quicktour * Re-enable doctests for task_summary (#15830) * Remove & Framework split model report (#15825) Add TFConvNextModel (#15750) * feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by:
ariG23498 <aritra.born2fly@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co> Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> * minor changes * doc fix in feature extractor * doc * typose * removed detr logic from config * removed detr logic from config * removed num_labels * small fix in the config * auxilary -> auxiliary * make style * some test is failing * fix a weird char in config prevending doc-builder * retry to fix the doc-builder issue * make style * new try to fix the doc builder * CI * change weights to facebook Co-authored-by:
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Nicolas Patry authored
* Adding timestamps for CTC with LM in ASR pipeline. * iRemove print. * Nit change.
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Joao Gante authored
* Add GPT2 TF generate sample test with all logits processor * Add T5 generate sample test
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Michael Benayoun authored
* Add M2M100 support for ONNX export * Delete useless imports * Add M2M100 to tests * Fix protobuf issue
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Stas Bekman authored
* fix deepspeed tests * style * more fixes
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- 01 Mar, 2022 3 commits
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NielsRogge authored
* Add problem_type to missing models * Fix deit test Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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Patrick von Platen authored
* [Wav2Vec2 With LM] add timestamps * correct * correct * Apply suggestions from code review * correct * Update src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py * make style * Update src/transformers/models/wav2vec2_with_lm/processing_wav2vec2_with_lm.py Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> * make style * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
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Eduardo Gonzalez Ponferrada authored
* Add data2vec model cloned from roberta * Add checkpoint conversion script * Fix copies * Update docs * Add checkpoint conversion script * Remove fairseq data2vec_text script and fix format * Add comment on where to get data2vec_text.py * Remove mock implementation cheat.py and fix style * Fix copies * Remove TF and Flax classes from init * Add back copy from fairseq data2vec_text.py and fix style * Update model name in docs/source/index.mdx to be CamelCase * Revert model name in table to lower-case to get check_table test to pass * Update src/transformers/models/data2vec/__init__.py Co-authored-by:
Eduardo Gonzalez Ponferrada <eduardo@ferrumhealth.com> Co-authored-by:
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- 28 Feb, 2022 4 commits
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Patrick von Platen authored
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Nicolas Patry authored
* Fixing the timestamps with chunking. * The changes modified (and fixed) the striding tests. * Adding a tokenizer test. * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by:
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Sanchit Gandhi authored
* rebase * Delete shift tokens func * downsample decoder input seq len for init * correct attention mask * add tests * pt flax cross test * make fixup * init file for import * change pt-flax cross test threshold * pt-flax test logits only * move tests * make repo-consistency * consistent indentation Co-authored-by: -
Patrick von Platen authored
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- 25 Feb, 2022 4 commits
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Sayak Paul authored
* feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by:
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Yih-Dar authored
* 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: -
Nicolas Patry authored
* 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:
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Sylvain Gugger authored
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- 24 Feb, 2022 4 commits
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Patrick von Platen authored
* [TFXLNet] Correct tf xlnet * adapt test comment
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Patrick von Platen authored
* remove soundfile old way of loading audio * Adapt slow test
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Sylvain Gugger authored
* Revert changes in logit size for semantic segmentation models * Address review comments
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Sylvain Gugger authored
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- 23 Feb, 2022 3 commits
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Lysandre Debut authored
* Per-folder tests reorganization Co-authored-by:
Stas Bekman <stas@stason.org>
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Nicolas Patry authored
* Enabling Beit SegFormer to `image-segmentation`. * Fixing the score. * Fix import ? * Missing in type hint. * Multiple test fixes: - Add `raw_image` support. It should be the default IMHO since in Python world it doesn't make any sense to base64 encode the image (Sorry @mishig, didn't catch that in my review). I really think we should consider breaking BC here. - Add support for Segformer tiny test (needed `SegformerModelTester.get_config` to enable TinyConfig @NielsRogge) - Add the check that `batch_size` works correctly on that pipeline. Uncovered that it doesn't for Detr, which IMO is OK since images after `feature_extractor` don't have the same size. Comment should explain. * Type hint as a string. * Make fixup + update black. * torch+vision protections. * Don't use torchvision, use F.interpolate instead (no new dep). * Last fixes for Segformer. * Update test to reflect new image (which was broken) * Update tests. * Major BC modification: - Removed the string compressed PNG string, that's a job for users `transformers` stays in python land. - Removed the `score` for semantic segmentation. It has hardly a meaning on its own in this context. - Don't include the grayscale with logits for now (which could enable users to get a sense of confidence). Might be done later. - Don't include the surface of the mask (could be used for sorting by users, to filter out small masks). It's already calculable, and it's easier to add later, than to add now and break later if we need. * `make fixup`. * Small changes. * Rebase + doc fixup.
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Nicolas Patry authored
* [Proposal] Adding ZeroShotImageClassificationPipeline - Based on CLIP * WIP, Resurection in progress. * Resurrection... achieved. * Reword handling different `padding_value` for `feature_extractor` and `tokenizer`. * Thanks doc-builder ! * Adding docs + global namespace `ZeroShotImageClassificationPipeline`. * Fixing templates. * Make the test pass and be robust to floating error. * Adressing suraj's comments on docs mostly. * Tf support start. * TF support. * Update src/transformers/pipelines/zero_shot_image_classification.py Co-authored-by:
Suraj Patil <surajp815@gmail.com> Co-authored-by:
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- 22 Feb, 2022 2 commits
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Patrick von Platen authored
* [Wav2Vec2 Time Stamps] * Add first version * add word time stamps * Fix * save intermediate space * improve * [Finish CTC Tokenizer] * remove @ * remove @ * push * continue with phonemes * up * finish PR * up * add example * rename * finish * Apply suggestions from code review Co-authored-by:
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Funtowicz Morgan authored
* Add GeLU10 (clipped version of GeLU) to transformers to improve quantization performances. * Add unittests. * Import tensorflow after `is_tf_available` check. * Fix tensorflow wrong function `tf.tensor` to `tf.constant` * style. * use `tf.math.max` * Fix tf tests. * style. * style style style style style style * style style style style style style * Address @sgugger comments. * Fix wrong operator for raising ValueError for ClippedGELUActivation.
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- 21 Feb, 2022 1 commit
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SaulLu authored
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- 18 Feb, 2022 6 commits
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Sanchit Gandhi authored
* fix bug in PT speech-encoder-decoder * add pt test for `inputs is not None` * fix test * new pt test * Update tests/test_modeling_speech_encoder_decoder.py * make fixup Co-authored-by: -
Lysandre Debut authored
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Gunjan Chhablani authored
* Init PLBART * Add missing configuration file * Add conversion script and configurationf ile * Fix style * Update modeling and conversion scripts * Fix scale embedding in config * Add comment * Fix conversion script * Add classification option to conversion script * Fix vocab size in config doc * Add tokenizer files from MBart50 * Allow no lang code in regular tokenizer * Add PLBart Tokenizer Converters * Remove mask from multi tokenizer * Remove mask from multi tokenizer * Change from MBart-50 to MBart tokenizer * Fix names and modify src/tgt behavior * Fix imports for tokenizer * Remove <mask> from multi tokenizer * Fix style * Change tokenizer_class to processor_class * Add attribute map to config class * Update modeling file to modified MBart code * Update configuration file to MBart style configuration * Fix tokenizer * Separate tokenizers * Fix error in tokenization auto * Copy MBart tests * Replace with MBart tokenization tests * Fix style * Fix language code in multi tokenizer * Fix configuration docs * Add entry for plbart_multi in transformers init * Add dummy objects and fix imports * Fix modeling tests * Add TODO in config * Fix copyright year * Fix modeling docs and test * Fix some tokenization tests and style * Add changes from review * Fix copies * Fix docs * Fix docs * Fix style * Fix year * Add changes from review * Remove extra changes * Fix base tokenizer and doc * Fix style * Fix modeling and slow tokenizer tests * Remove Multi-tokenizer Converter and Tests * Delete QA model and Multi Tokenizer dummy objects * Fix repo consistency and code quality issues * Fix example documentation * Fix style * Remove PLBartTokenizer from type checking in init * Fix consistency issue * Add changes from review * Fix style * Remove PLBartTokenizerFast * Remove FastTokenizer converter * Fix AutoTokenzier mapping * Add plbart to toctree and fix consistency issues * Add language codes tokenizer test * Fix styling and doc issues * Add fixes for failing tests * Fix copies * Fix failing modeling test * Change assert to assertTrue in modeling tests
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Yih-Dar authored
* add undo padding * fix * fix tuple issue * make style and quality * move unpad logic to LongformerEncoder + unpad attentions + update tests * move unpad logic to TFLongformerEncoder Co-authored-by: -
Yih-Dar authored
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SaulLu authored
Very big changes concerning the tokenizer fast of CLIP which did not correspond to the tokenizer slow of CLIP Co-authored-by:
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- 17 Feb, 2022 2 commits
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NielsRogge authored
* Add first draft * Make model importable * Make SwinForMaskedImageModeling importable * Fix imports * Add missing inits * Add support for Swin * Fix bug * Fix bug * Fix another bug * Fix Swin MIM implementation * Fix default encoder stride * Fix Swin * Add print statements for debugging * Add image_size data argument * Fix Swin * Fix image_size * Add print statements for debugging * Fix print statement * Remove print statements * Improve reshaping of bool_masked_pos * Add support for DeiT, fix tests * Improve docstrings * Apply new black version * Improve script * Fix bug * Improve README * Apply suggestions from code review * Remove DS_Store and add to gitignore * Apply suggestions from code review + fix BEiT Flax * Revert BEiT changes * Improve README * Fix code quality * Improve README Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MBP.localdomain> Co-authored-by:
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Tanay Mehta authored
* Added all files, PoolFormerFeatureExtractor still failing tests * Fixed PoolFormerFeatureExtractor not being able to import * Completed Poolformer doc * Applied Suggested fixes * Fixed errors in modeling_auto.py * Fix feature extractor, convert docs to Markdown, styling of code * Remove PoolFormer from check_repo and fix integration test * Remove Poolformer from check_repo * Fixed configuration_poolformer.py docs and removed inference.py from poolformer * Ran with black v22 * Added PoolFormer to _toctree.yml * Updated poolformer doc * Applied suggested fixes and added on README.md * Did make fixup and make fix-copies, tests should pass now * Changed PoolFormer weights conversion script name and fixed README * Applied fixes in test_modeling_poolformer.py and modeling_poolformer.py * Added PoolFormerFeatureExtractor to AutoFeatureExtractor API Co-authored-by:
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- 16 Feb, 2022 4 commits
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Eldar Kurtic authored
* Implement activations as pytorch modules * Apply fixup * Add missing tests for activations * Update docstring Co-authored-by:
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Patrick von Platen authored
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Sylvain Gugger authored
* Add push_to_hub method to processors * Fix test * The other one too! * Add register method to AutoProcessor * Update src/transformers/models/auto/processing_auto.py Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> Co-authored-by:
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Sylvain Gugger authored
* Add push_to_hub method to processors * Fix test * The other one too!
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