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- 08 Nov, 2022 3 commits
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amyeroberts authored
* AutoImageProcessor skeleton * Update references * Add mapping in init * Add model image processors to __init__ for importing * Add AutoImageProcessor tests * Fix up * Image Processor documentation * Remove pdb * Update docs/source/en/model_doc/mobilevit.mdx * Update docs * Don't add whitespace on json files * Remove fixtures * Move checking model config down * Fix up * Add check for image processor * Remove FeatureExtractorMixin in docstrings * Rename model_tmpfile to config_tmpfile * Don't make None if not in image processor map
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Weiwe Shi authored
* add roc_bert * update roc_bert readme * code style * change name and delete unuse file * udpate model file * delete unuse log file * delete tokenizer fast * reformat code and change model file path * add RocBertForPreTraining * update docs * delete wrong notes * fix copies * fix make repo-consistency error * fix files are not present in the table of contents error * change RocBert -> RoCBert * add doc, add detail test Co-authored-by:weiweishi <weiweishi@tencent.com>
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NielsRogge authored
* Add first draft * Update conversion script * Improve conversion script * Improve conversion script some more * Add conditional embeddings * Add initial decoder * Fix activation function of decoder * Make decoder outputs match original implementation * Make decoder outputs match original implementation * Add more copied from statements * Improve model outputs * Fix auto tokenizer file * Fix more tests * Add test * Improve README and docs, improve conditional embeddings * Fix more tests * Remove print statements * Remove initial embeddings * Improve conversion script * Add interpolation of position embeddings * Finish addition of interpolation of position embeddings * Add support for refined checkpoint * Fix refined checkpoint * Remove unused parameter * Improve conversion script * Add support for training * Fix conversion script * Add CLIPSegFeatureExtractor * Fix processor * Fix CLIPSegProcessor * Fix conversion script * Fix most tests * Fix equivalence test * Fix README * Add model to doc tests * Use better variable name * Convert other checkpoint as well * Update config, add link to paper * Add docs * Update organization * Replace base_model_prefix with clip * Fix base_model_prefix * Fix checkpoint of config * Fix config checkpoint * Remove file * Use logits for output * Fix tests Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 07 Nov, 2022 1 commit
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Tom Aarsen authored
* docs: Fix typo in ONNX parser help: 'tolerence' => 'tolerance' * docs: Resolve many typos in the English docs Typos found via 'codespell ./docs/source/en'
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- 04 Nov, 2022 1 commit
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Jordan Clive authored
Update documentation on seq2seq models with absolute positional embeddings, to be in line with Tips section for BERT and GPT2 (#20068) Co-authored-by:jordiclive <jordiclive19@imperial.ac.uk>
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- 03 Nov, 2022 2 commits
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Sanchit Gandhi authored
* [Whisper Tokenizer] Make more user-friendly * use property * make indexing rigorous * small clean-up * tests * skip seq2seq tests * remove multilingual arg * reorder args * collapse to one function Co-authored-by:
ArthurZucker <arthur@huggingface.co> * option to override attributes Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make comment more clear Co-authored-by:
sgugger <sylvain@huggingface.co> * don't add special tokens in get_decoder_prompt_ids * add test for set_prefix_tokens Co-authored-by:
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Yih-Dar authored
* Add skip_special_tokens=True in some doctest * For T5 * Fix for speech_to_text.mdx Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 01 Nov, 2022 3 commits
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Steven Liu authored
* add layoutlmv3 resource * add layoutlmv2 resources * fix button
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Steven Liu authored
* add resources for bert * add course chapters * apply reviews * add pipeline icons and community resource * fix buttons
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Matt authored
* initial commit * First draft that gets outputs without crashing! * Add all the ported openfold dependencies * testing * Restructure config files for ESMFold * Debugging to find output discrepancies * Mainly style * Make model runnable without extra deps * Remove utils and merge them to the modeling file * Use correct gelu and remove some debug prints * More cleanup * Update esm docs * Update conversion script to support ESMFold properly * Port some top-level changes from ESMFold repo * Expand EsmFold docstrings * Make attention_mask optional (default to all 1s) * Add inference test for ESMFold * Use config and not n kwargs * Add modeling output class * Remove einops * Remove chunking in ESM FFN * Update tests for ESMFold * Quality * REpo consistency * Remove tree dependency from ESMFold * make fixup * Add an error in case my structure map function breaks later * Remove needless code * Stop auto-casting the LM to float16 so CPU tests pass * Stop auto-casting the LM to float16 so CPU tests pass * Final test updates * Split test file * Copyright and quality * Unpin PyTorch to see built doc * Fix config file to_dict() method * Add some docstrings to the output * Skip TF checkpoint tests for ESM until we reupload those * make fixup * More docstrings * Unpin to get even with main * Flag example to write Co-authored-by:Sylvain Gugger <Sylvain.gugger@gmail.com>
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- 31 Oct, 2022 1 commit
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NielsRogge authored
* Add postprocessing methods * Update docs * Add fix * Add test * Add test for deformable detr postprocessing * Add post processing methods for segmentation * Update code examples * Add post_process to make the pipeline work * Apply updates Co-authored-by:
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- 28 Oct, 2022 3 commits
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Steven Liu authored
* add wav2vec2 resources * apply review Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
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Steven Liu authored
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Steven Liu authored
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- 27 Oct, 2022 4 commits
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Steven Liu authored
* add resources for gpt2 * add pipeline icons and community resources
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Steven Liu authored
* add bloom resources * add pipeline icon
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Steven Liu authored
* add resources for t5 * add pipeline icons and community resources
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Steven Liu authored
* add roberta resources * fix typo
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- 26 Oct, 2022 1 commit
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Younes Belkada authored
* add `flan-t5` documentation page * Update README.md Co-authored-by:
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- 25 Oct, 2022 1 commit
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Lysandre Debut authored
* Support for Vilt in v1.9 * Skip if not higher or equal than 1.10 * Move test :) * I am bad at python
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- 24 Oct, 2022 1 commit
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Yih-Dar authored
Co-authored-by:
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- 18 Oct, 2022 5 commits
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NielsRogge authored
Co-authored-by: -
NielsRogge authored
* First draft * Add conversion script * Make conversion work * Upload checkpoints * Add final fixes * Revert changes of conditional and deformable detr * Fix toctree, add and remove copied from * Use model type * Improve docs * Improve code example * Update copies * Add copied formt * Don't update conditional detr * Don't update deformable detr
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Antonio Carlos Falc茫o Petri authored
* [Wav2Vec2] Allow user-managed Pool in Wav2Vec2ProcessorWithLM.batch_decode * [Wav2Vec2] Add user-managed LM's pool tests and usage examples * Improve styling Co-authored-by:
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NielsRogge authored
* Improve DETR models * Fix Deformable DETR loss and matcher * Fixup * Fix integration tests * Improve variable names * Apply suggestion * Fix copies * Fix DeformableDetrLoss * Make Conditional DETR copy from Deformable DETR * Copy from deformable detr's hungarian matcher * Fix bug
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NielsRogge authored
Co-authored-by:
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- 17 Oct, 2022 1 commit
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Matt authored
* Partial TF port for ESM model * Add ESM-TF tests * Add the various imports for TF-ESM * TF weight conversion almost ready * Stop ignoring the decoder weights in PT * Add tests and lots of fixes * fix-copies * Fix imports, add model docs * Add get_vocab() to tokenizer * Fix vocab links for pretrained files * Allow multiple inputs with a sep * Use EOS as SEP token because ESM vocab lacks SEP * Correctly return special tokens mask from ESM tokenizer * make fixup * Stop testing unsupported embedding resizing * Handle TF bias correctly * Skip all models with slow tokenizers in the token classification test * Fixing the batch/unbatcher of pipelines to accomodate the `None` being passed around. * Fixing pipeline bug caused by slow tokenizer being different. * Update src/transformers/models/esm/modeling_tf_esm.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/esm/modeling_tf_esm.py Co-authored-by:
Your Name <you@example.com> Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by:
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- 13 Oct, 2022 1 commit
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Akash Mahajan authored
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- 12 Oct, 2022 3 commits
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Daniel van Strien authored
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Ritik Nandwal authored
* Add initial files for depth estimation pipelines * Add test file for depth estimation pipeline * Update model mapping names * Add updates for depth estimation output * Add generic test * Hopefully fixing the tests. * Check if test passes * Add make fixup and make fix-copies changes after rebase with main * Rebase with main * Fixing up depth pipeline. * This is not used anymore. * Fixing the test. `Image` is a module `Image.Image` is the type. * Update docs/source/en/main_classes/pipelines.mdx Co-authored-by:
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NielsRogge authored
* First draft * Fix more things * Improve more things * Remove some head models * Fix more things * Add missing layers * Remove tokenizer * Fix more things * Fix copied from statements * Make all tests pass * Remove print statements * Remove files * Fix README and docs * Add integration test and fix organization * Add tips * Apply suggestions from code review Co-authored-by:
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- 11 Oct, 2022 1 commit
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Mathieu Jouffroy authored
* implemented TFCvtModel and TFCvtForImageClassification and modified relevant files, added an exception in convert_tf_weight_name_to_pt_weight_name, added quick testing file to compare with pytorch model * added docstring + testing file in transformers testing suite * added test in testing file, modified docs to pass repo-consistency, passed formatting test * refactoring + passing all test * small refacto, removing unwanted comments * improved testing config * corrected import error * modified acces to pretrained model archive list, to pass tf_test * corrected import structure in init files * modified testing for keras_fit with cpu * correcting PR issues + Refactoring * Refactoring : improving readability and reducing the number of permutations * corrected momentum value + cls_token initialization * removed from_pt as weights were added to the hub * Update tests/models/cvt/test_modeling_tf_cvt.py Co-authored-by:
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- 10 Oct, 2022 2 commits
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amyeroberts authored
* simplify loop * add featur extractor * add model * start conversion * add dropout * initial commit of test files * copnversion for all models * update processor for correct padding * update feature extraction * update integration test logits match * fmnt: off for the logits * on the fly mel bank * small nit * update test * update tokenizer * nit feature extraction * update * update tokenizer test * adds logit processor and update tokenizer to get supress tokens * style * clean convert * revert to original modeling tf utils * Update * update * nit * clean convert file * update tests and nits * quality * slow generation test * ffn_dim to allow customization * update readme * add to toctreee * start fixing integration tests * update tests and code * fix feature extractor * fix config tests common * update code to fix tests * fix feature exctractor * nit feature extraction * update test for new feature extractor * style * add absrtact * large logits wioth custom decoder input ids * wraap around is otrch available * fix feature extractor * correct logits for whisper small.en * nit * fix encoder_attentino_mask * some fixes * remove unnecessary inputs * nits * add normalizer file * update etst tokenization * fix attention mask not defined * fix generate * remove uncoder attention mask useless * update test modeling whisper * update condfig to add second non supress tokens * nits on feature exrtactor * nit for test tokenizers * update etsts * update tests * update tokenization test * fixup * invalidated hf token. Clean convert openai to whisper * fix logit tests * fixup * Add model to README * Fix doc tests * clean merge * revert toc_tree changes * remove useless LogitProcessor * Update whisper .mdx * update config file doc * update configuration docstring * update test tokenization * update test tokenization * update tokenization whisper Added copied from where needed * update feature extraction * nit test name * style * quality * remove get suppress tokens and update non_speech tokens global variables * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * clean modeling whisper and test Removed the attention mask arguments that are deprecated * fix large test * Add multilingual audio test, and translate test * style * fix larg multilingual test * nits * add copied from for attention layer * remove attention masks in doc * add english normalizer * Update docs/source/en/model_doc/whisper.mdx Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/whisper/configuration_whisper.py Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> * Remove changes to adjust_logits_during_generation function * Update src/transformers/models/whisper/modeling_tf_whisper.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Tidy up imports that don't require TF * Update tests - skip and no more skip * Update tests/generation/test_generation_tf_logits_process.py Co-authored-by:
Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
NielsRogge <niels.rogge1@gmail.com> Co-authored-by:
Joao Gante <joao@huggingface.co>
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APAVOU Cl茅ment authored
* Add `OPTForQuestionAnswering` - added `OPTForQuestionAnswering` class based on `BloomForQuestionAnswering` - added `OPTForQuestionAnswering` in common tests - all common tests pass - make fixup done * added docstrings for OPTForQuestionAnswering * Fix docstrings for OPTForQuestionAnswering
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- 07 Oct, 2022 1 commit
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Amrit Sahu authored
* Add ZeroShotObjectDetectionPipeline (#18445) * Add AutoModelForZeroShotObjectDetection task This commit also adds the following - Add explicit _processor method for ZeroShotObjectDetectionPipeline. This is necessary as pipelines don't auto infer processors yet and `OwlVitProcessor` wraps tokenizer and feature_extractor together, to process multiple images at once - Add auto tests and other tests for ZeroShotObjectDetectionPipeline * Add AutoModelForZeroShotObjectDetection task This commit also adds the following - Add explicit _processor method for ZeroShotObjectDetectionPipeline. This is necessary as pipelines don't auto infer processors yet and `OwlVitProcessor` wraps tokenizer and feature_extractor together, to process multiple images at once - Add auto tests and other tests for ZeroShotObjectDetectionPipeline * Add batching for ZeroShotObjectDetectionPipeline * Fix doc-string ZeroShotObjectDetectionPipeline * Fix output format: ZeroShotObjectDetectionPipeline
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- 06 Oct, 2022 1 commit
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Alara Dirik authored
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- 05 Oct, 2022 2 commits
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Arthur authored
* simplify loop * add featur extractor * add model * start conversion * add dropout * initial commit of test files * copnversion for all models * update processor for correct padding * update feature extraction * update integration test logits match * fmnt: off for the logits * on the fly mel bank * small nit * update test * update tokenizer * nit feature extraction * update * update tokenizer test * adds logit processor and update tokenizer to get supress tokens * style * clean convert * revert to original modeling tf utils * Update * update * nit * clean convert file * update tests and nits * quality * slow generation test * ffn_dim to allow customization * update readme * add to toctreee * start fixing integration tests * update tests and code * fix feature extractor * fix config tests common * update code to fix tests * fix feature exctractor * nit feature extraction * update test for new feature extractor * style * add absrtact * large logits wioth custom decoder input ids * wraap around is otrch available * fix feature extractor * correct logits for whisper small.en * nit * fix encoder_attentino_mask * some fixes * remove unnecessary inputs * nits * add normalizer file * update etst tokenization * fix attention mask not defined * Add model to README * Fix doc tests * fix generate * remove uncoder attention mask useless * update test modeling whisper * update condfig to add second non supress tokens * nits on feature exrtactor * nit for test tokenizers * update etsts * update tests * update tokenization test * fixup * invalidated hf token. Clean convert openai to whisper * fix logit tests * fixup * clean merge * revert toc_tree changes * remove useless LogitProcessor * Update whisper .mdx * update config file doc * update configuration docstring * update test tokenization * update test tokenization * update tokenization whisper Added copied from where needed * update feature extraction * nit test name * style * quality * remove get suppress tokens and update non_speech tokens global variables * Update src/transformers/models/whisper/feature_extraction_whisper.py Co-authored-by:
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Alara Dirik authored
- Improves MaskFormer docs, corrects minor typos - Restructures MaskFormerFeatureExtractor.post_process_panoptic_segmentation for better readability, adds target_sizes argument for optional resizing - Adds post_process_semantic_segmentation and post_process_instance_segmentation methods. - Adds a deprecation warning to post_process_segmentation method in favour of post_process_instance_segmentation
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- 04 Oct, 2022 1 commit
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Younes Belkada authored
* add bloom for question answering - attempt to add Bloom for question answering - adapted from `GPTJForQuestionAnswering` - Fixed `num_labels` to `2` for common tests - Added a bit of docstring - All common tests pass * Update src/transformers/models/bloom/modeling_bloom.py Co-authored-by:
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- 03 Oct, 2022 1 commit
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Alara Dirik authored
* Restructure DetrFeatureExtractor post-processing methods * Update post_process_instance_segmentation and post_process_panoptic_segmentation methods to return prediction scores * Update DETR models docs
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