- 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:
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:
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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:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Apply suggestions from code review * 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:
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:
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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:Lysandre <lysandre.debut@reseau.eseo.fr>
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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:
Suraj Patil <surajp815@gmail.com> 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:
Sylvain Gugger <sylvain.gugger@gmail.com> 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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- 18 Nov, 2021 1 commit
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NielsRogge authored
* 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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- 28 Oct, 2021 2 commits
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Lysandre authored
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NielsRogge authored
* First draft * Make style & quality * Improve conversion script * Add print statement to see actual slice * Make absolute tolerance smaller * Fix image classification models * Add post_process_semantic method * Disable padding * Improve conversion script * Rename to ForSemanticSegmentation, add integration test, remove post_process methods * Improve docs * Fix code quality * Fix feature extractor tests * Fix tests for image classification model * Delete file * Add is_torch_available to feature extractor * Improve documentation of feature extractor methods * Apply suggestions from @sgugger's code review Co-authored-by:
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- 26 Oct, 2021 1 commit
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Patrick von Platen authored
* 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:
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- 22 Oct, 2021 1 commit
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Yeoun Yi authored
* 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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- 18 Oct, 2021 1 commit
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Dat Quoc Nguyen authored
* 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:
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- 15 Oct, 2021 1 commit
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Anton Lozhkov authored
* Working encoder * SEW-D and tests * Further conv fixes * Automodels and conv inits * Update integration tests, add docs * Docs cleanup, resolve todos * Conf fix * Fix docs * Fix tests, apply suggestions * Update src/transformers/models/sew/modeling_sew.py Co-authored-by:
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- 13 Oct, 2021 1 commit
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NielsRogge authored
* 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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- 27 Sep, 2021 1 commit
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Lysandre authored
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- 20 Sep, 2021 1 commit
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Gunjan Chhablani authored
* 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:
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- 08 Sep, 2021 1 commit
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Li-Huai (Allan) Lin authored
* 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:
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- 01 Sep, 2021 2 commits
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NielsRogge authored
* 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:
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Patrick von Platen authored
* 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:
Patrick von Platen <patrick@huggingface.co> Co-authored-by: your_github_username <your_github_email> Co-authored-by:
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- 31 Aug, 2021 2 commits
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Stella Biderman authored
* 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:
Eric Hallahan <eric@hallahans.name> * Update tests/test_modeling_gptj.py Co-authored-by:
kurumuz <kurumuz1@gmail.com> Co-authored-by:
Leo Gao <54557097+leogao2@users.noreply.github.com> Co-authored-by:
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Lysandre authored
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- 30 Aug, 2021 1 commit
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NielsRogge authored
* 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:
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- 24 Aug, 2021 1 commit
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Ori Ram authored
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- 17 Aug, 2021 1 commit
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Ori Ram authored
* 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:
yuvalkirstain <kirstain.yuval@gmail.com> Co-authored-by:
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- 04 Aug, 2021 1 commit
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NielsRogge authored
* First pass * Make conversion script work * Improve conversion script * Fix bug, conversion script working * Improve conversion script, implement BEiTFeatureExtractor * Make conversion script work based on URL * Improve conversion script * Add tests, add documentation * Fix bug in conversion script * Fix another bug * Add support for converting masked image modeling model * Add support for converting masked image modeling * Fix bug * Add print statement for debugging * Fix another bug * Make conversion script finally work for masked image modeling models * Move id2label for datasets to JSON files on the hub * Make sure id's are read in as integers * Add integration tests * Make style & quality * Fix test, add BEiT to README * Apply suggestions from @sgugger's review * Apply suggestions from code review * Make quality * Replace nielsr by microsoft in tests, add docs * Rename BEiT to Beit * Minor fix * Fix docs of BeitForMaskedImageModeling Co-authored-by:
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