- 08 Apr, 2022 1 commit
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NielsRogge authored
* Add TapexTokenizer * Improve docstrings and provide option to provide answer * Remove option for pretokenized inputs * Add TAPEX to README * Fix copies * Remove option for pretokenized inputs * Initial commit: add tapex fine-tuning examples on both table-based question answering and table-based fact verification. * - Draft a README file for running the script and introducing some background. - Remove unused code lines in tabfact script. - Disable the deafult `pad_to_max_length` option which is memory-consuming. * * Support `as_target_tokenizer` function for TapexTokenizer. * Fix the do_lower_case behaviour of TapexTokenizer. * Add unit tests for target scenarios and cased/uncased scenarios for both source and target. * * Replace the label BartTokenizer with TapexTokenizer's as_target_tokenizer function. * Fix typos in tapex example README. * * fix the evaluation script - remove the property `task_name` * * Make the label space more clear for tabfact tasks * * Using a new fine-tuning script for tapex-base on tabfact. * * Remove the lowercase code outside the tokenizer - we use the tokenizer to control whether do_lower_case * Guarantee the hyper-parameter can be run without out-of-memory on 16GB card and report the new reproduced number on wikisql * * Remove the default tokenizer_name option. * Provide evaluation command. * * Support for WikiTableQuestion dataset. * Fix a typo in README. * * Fix the datasets's key name in WikiTableQuestions * Run make fixup and move test to folder * Fix quality * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
Suraj Patil <surajp815@gmail.com> * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Apply some more suggestions from code review * Improve docstrings * Overwrite failing test * Improve comment in example scripts * Fix rebase * Add TAPEX to Auto mapping * Add TAPEX to auto config mappings * Put TAPEX higher than BART in auto mapping * Add TAPEX to doc tests Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MBP.localdomain> Co-authored-by:
SivilTaram <qianlxc@outlook.com> Co-authored-by:
Niels Rogge <nielsrogge@nielss-mbp.home> Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 07 Apr, 2022 2 commits
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Francesco Saverio Zuppichini authored
* base model done * make style * done * added files * Apply suggestions from code review Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com>
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Britney Muller authored
* Update README.md Support Image Updates the Support image linking to our EAP page (to give it a refresh + help avoid image fatigue). Slack thread checking in with #open-source-internal on this update (https://huggingface.slack.com/archives/C021H1P1HKR/p1648838903316709) * Compressed Updated Support image * Improves Support Image Logo + Height Updated the image based on logo + size feedback. Big thanks to Bibi for making quick edits to this image.
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- 28 Mar, 2022 1 commit
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NielsRogge authored
* First draft * More improvements * Add fusion blocks * Make conversion script work for dpt_large * Make conversion script work * Improve implementation * Improve conversion script * Add DPTForSemanticSegmentation * Make conversion work for semantic segmentation * Add tests * Remove print statements * First draft * Redesign neck * Improve tests * Improve implementation some more * Make neck output list of tensors * Improve neck and feature extractor * Fix integration tests * Make more tests pass * Make all tests pass * Add missing config archive map * Add in_index attribute to make heads accept list of tensors * Apply suggestions from code review * Apply suggestions from code review Co-authored-by:
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- 24 Mar, 2022 1 commit
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Sylvain Gugger authored
* 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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- 23 Mar, 2022 2 commits
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Edward Beeching authored
* 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:
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:
✨ 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:Dan Tegzes <48134725+Tegzes@users.noreply.github.com> Co-authored-by:
Adam Montgomerie <adam@avanssion.com> Co-authored-by:
Clémentine Fourrier <22726840+clefourrier@users.noreply.github.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 authored
* Updates the default branch from master to main * Links from `master` to `main` * Typo * Update examples/flax/README.md Co-authored-by:
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- 22 Mar, 2022 1 commit
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NielsRogge authored
* 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:
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- 15 Mar, 2022 1 commit
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Francesco Saverio Zuppichini authored
* encoder works * addded files * norm in stage * convertion script * tests * fix copies * make fix-copies * fixed __init__ * make fix-copies * fix * shapiro test needed * make fix-copie * minor changes * make style + quality * minor refactor conversion script * rebase + tests * removed unused variables * updated doc * toctree * CI * doc * Apply suggestions from code review Co-authored-by:
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- 14 Mar, 2022 1 commit
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Francesco Saverio Zuppichini authored
* first commit * ResNet model correctly implemented. basic modeling + weights conversion is done removed unused doc mdx file doc and conversion script added feature_extractor to auto test minor changes + style + quality doc test Delete process.yml A left over from my attempt of running circleci locally * minor changes * Apply suggestions from code review Co-authored-by:
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- 10 Mar, 2022 2 commits
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Suraj Patil authored
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NielsRogge authored
* Add conversion script * Improve script * Fix bug * Add option to push to hub * Add support for classification models * Update model name * Upload feature extractor files first * Remove hash checking * Fix config * Add id2label * Add import * Fix id2label file name * Fix expected shape * Add model to README * Improve docs * Add integration test and fix CI * Fix code style * Add missing init * Add model to SPECIAL_MODULE_TO_TEST_MAP Co-authored-by:
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- 02 Mar, 2022 1 commit
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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:
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:
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- 01 Mar, 2022 1 commit
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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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- 18 Feb, 2022 1 commit
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Gunjan Chhablani authored
* Add missing PLBart entry in index * Fix README * Fix README * Fix style * Change to master model doc
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- 17 Feb, 2022 2 commits
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Yih-Dar authored
* fix README * fix more arxiv links * make fix-copies Co-authored-by: -
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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- 07 Feb, 2022 1 commit
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NielsRogge authored
* First draft * Add conversion script * Improve conversion script * Improve docs and implement tests * Define model output class * Fix tests * Fix more tests * Add model to README * Apply suggestions from code review Co-authored-by:
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- 29 Jan, 2022 1 commit
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Soonhwan-Kwon authored
* add xlm roberta xl * add convert xlm xl fairseq checkpoint to pytorch * fix init and documents for xlm-roberta-xl * fix indention * add test for XLM-R xl,xxl * fix model hub name * fix some stuff * up * correct init * fix more * fix as suggestions * add torch_device * fix default values of doc strings * fix leftovers * merge to master * up * correct hub names * fix docs * fix model * up * finalize * last fix * Apply suggestions from code review Co-authored-by:
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- 28 Jan, 2022 1 commit
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Suraj Patil authored
* add xglm * update vocab size * fix model name * style and tokenizer * typo * no mask token * fix pos embed compute * fix args * fix tokenizer * fix positions * fix tokenization * style and dic fixes * fix imports * add fast tokenizer * update names * add pt tests * fix tokenizer * fix typo * fix tokenizer import * fix fast tokenizer * fix tokenizer * fix converter * add tokenizer test * update checkpoint names * fix tokenizer tests * fix slow tests * add copied from comments * rst -> mdx * flax model * update flax tests * quality * style * doc * update index and readme * fix copies * fix doc * update toctrr * fix indent * minor fixes * fix config doc * don't save embed_pos weights * Apply suggestions from code review Co-authored-by:
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- 27 Jan, 2022 1 commit
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Lysandre authored
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- 26 Jan, 2022 1 commit
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novice authored
* Add cookiecutter files * Add cuda kernels and cpp files * Update modeling_yoso.py * Add .h files * Update configuration_yoso.py * Updates * Remove tokenizer * Code quality * Update modeling_yoso.py * Update modeling_yoso.py * Fix failing test * Update modeling_yoso.py * Fix code quality * Apply suggestions from code review Co-authored-by:
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- 21 Jan, 2022 1 commit
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novice authored
* Add all files * Apply suggestions from code review Co-authored-by:
Mishig Davaadorj <mishig.davaadorj@coloradocollege.edu> * Update conversion script * Reformat conversion script Co-authored-by:
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- 19 Jan, 2022 1 commit
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NielsRogge authored
* First commit * Add conversion script * Make conversion script work for base model * More improvements * Update conversion script, works for vqa * Add indexing argument to meshgrid * Make conversion script work for ViltForPreTraining * Add ViltForPreTraining to docs * Fix device issue * Add processor * Add MinMaxResize to feature extractor * Implement call method of ViltProcessor * Fix tests * Add integration test * Add loss calculation for VQA * Improve tests * Improve some more tests * Debug tests * Small improvements * Add support for attention_mask * Remove mask_it * Add pixel_mask * Add tests for ViltFeatureExtractor * Improve tests * Add ViltForNaturalLanguageVisualReasoning * Add ViltForNaturalLanguageVisualReasoning to conversion script * Minor fixes * Add support for image_embeds, update docstrings to markdown * Update docs to markdown * Improve conversion script * Rename ViltForPreTraining to ViltForMaskedLM * Improve conversion script * Convert docstrings to markdown * Fix code example of retrieval model * Properly convert masked language model * Add integration test for nlvr * Fix code quality * Apply suggestions from code review * Add copied from statements * Fix pretrained_config_archive_map * Fix docs * Add model to README * Apply suggestions from code review Co-authored-by:
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- 18 Jan, 2022 2 commits
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NielsRogge authored
* First draft * More improvements * More improvements * More improvements * Fix embeddings * Add conversion script * Finish conversion script * More improvements * Fix forward pass * Remove print statements * Add weights initialization * Add initialization of decoder weights * Add support for other models in the conversion script * Fix patch_size for huge model * Fix most of the tests * Fix integration test * Fix docs * Fix archive_list * Apply suggestions from code review * Improve documentation * Apply more suggestions * Skip some tests due to non-deterministic behaviour * Fix test_initialization * Remove unneccessary initialization of nn.Embedding * Improve docs * Fix dummies * Remove ViTMAEFeatureExtractor from docs * Add model to README and table of contents * Delete inference file
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Li-Huai (Allan) Lin authored
* REALM initial commit * Retriever OK (Update new_gelu). * Encoder prediction score OK * Encoder pretrained model OK * Update retriever comments * Update docs, tests, and imports * Prune unused models * Make embedder as a module `RealmEmbedder` * Add RealmRetrieverOutput * Update tokenization * Pass all tests in test_modeling_realm.py * Prune RealmModel * Update docs * Add training test. * Remove completed TODO * Style & Quality * Prune `RealmModel` * Fixup * Changes: 1. Remove RealmTokenizerFast 2. Update docstrings 3. Add a method to RealmTokenizer to handle candidates tokenization. * Fix up * Style * Add tokenization tests * Update `from_pretrained` tests * Apply suggestions * Style & Quality * Copy BERT model * Fix comment to avoid docstring copying * Make RealmBertModel private * Fix bug * Style * Basic QA * Save * Complete reader logits * Add searcher * Complete searcher & reader * Move block records init to constructor * Fix training bug * Add some outputs to RealmReader * Add finetuned checkpoint variable names parsing * Fix bug * Update REALM config * Add RealmForOpenQA * Update convert_tfrecord logits * Fix bugs * Complete imports * Update docs * Update naming * Add brute-force searcher * Pass realm model tests * Style * Exclude RealmReader from common tests * Fix * Fix * convert docs * up * up * more make style * up * upload * up * Fix * Update src/transformers/__init__.py * adapt testing * change modeling code * fix test * up * up * up * correct more * make retriever work * update * make style * finish main structure * Resolve merge conflict * Make everything work * Style * Fixup * Fixup * Update training test * fix retriever * remove hardcoded path * Fix * Fix modeling test * Update model links * Initial retrieval test * Fix modeling test * Complete retrieval tests * Fix * style * Fix tests * Fix docstring example * Minor fix of retrieval test * Update license headers and docs * Apply suggestions from code review * Style * Apply suggestions from code review * Add an example to RealmEmbedder * Fix Co-authored-by:
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- 11 Jan, 2022 1 commit
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novice authored
* 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:
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- 03 Jan, 2022 1 commit
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Sylvain Gugger authored
* Map model_type and doc pages names * Add script * Fix typo * Quality * Manual check for Auto Co-authored-by:
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- 23 Dec, 2021 1 commit
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Stas Bekman authored
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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- 17 Dec, 2021 1 commit
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Patrick von Platen authored
* 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:
Anton Lozhkov <aglozhkov@gmail.com> * more fixes * remove @ Co-authored-by:
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- 16 Dec, 2021 2 commits
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Patrick von Platen authored
* 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:
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Lysandre Debut authored
* First try * Update instructions
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- 15 Dec, 2021 1 commit
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Amit Chaudhary authored
* 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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- 08 Dec, 2021 1 commit
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NielsRogge authored
* 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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- 07 Dec, 2021 1 commit
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Ryokan RI authored
* 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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- 06 Dec, 2021 1 commit
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Suraj Patil authored
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- 03 Dec, 2021 1 commit
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Lysandre Debut authored
* 2022 is the year of multi-modality * Small fix * Apply suggestions from code review Co-authored-by:
lewtun <lewis.c.tunstall@gmail.com> * Update README.md Co-authored-by:
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- 01 Dec, 2021 1 commit
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Sylvain Gugger authored
* 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:
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- 19 Nov, 2021 2 commits
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Shang Zhang authored
* 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:
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NielsRogge authored
* Add integration test * Fix typo
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