- 07 Dec, 2022 5 commits
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Cole Howard authored
* read to load * base functionality * revert init * fix dummy data * moving right along * moving right along * finally * cleanup * pull out comment * add test * update docstring for main class * flake comments and rewriting copies from make repo-consistency` * remove irrelevant differences/accidental spaces * put copies back after space removals * mid * final test pass * stray comment * update test file * update test file * fixup * black * missed * black missed one more * sytle * add doc update * fix order of output class * comment * Revert "comment" This reverts commit 03f86b6948808461939cc8ad4ad74305dfb67700. * remove redundant function, and redundant reshape * move change out of common * style * put common spaces back * reorder kwargs in output * doc style
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Sanchit Gandhi authored
* [Whisper] Fix forced decoder ids * fix test
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Younes Belkada authored
* add `dpt-hybrid` support * refactor * final changes, all tests pass * final cleanups * final changes * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * fix docstring * fix typo * change `vit_hybrid` to `hybrid` * replace dataclass * add docstring * move dataclasses * fix test * add `PretrainedConfig` support for `backbone_config` * fix docstring * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * remove `embedding_type` and replace it by `is_hybrid` Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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NielsRogge authored
* First draft * More improvements * Add backbone, first draft of ViT hybrid * Add AutoBackbone * More improvements * Fix bug * More improvements * More improvements * Convert ViT-hybrid * More improvements * add patch bit * Fix style * Improve code * cleaned v1 * more cleaning * more refactoring * Improve models, add tests * Add docs and tests * Make more tests pass * Improve default backbone config * Update model_type * Fix more tests * Add more copied from statements * More improvements * Add push to hub to conversion scripts * clean * more cleanup * clean * replace to * fix * Update src/transformers/models/bit/configuration_bit.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * fix base model prefix * more cleaning * get rid of stem * clean * replace flag * Update src/transformers/models/bit/configuration_bit.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/bit/configuration_bit.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * add check * another check * fix for hybrid vit * final fix * update config * fix class name * fix `make fix-copies` * remove `use_activation` * Update src/transformers/models/bit/configuration_bit.py * rm unneeded file * Add BiT image processor * rm unneeded file * add doc * Add image processor to conversion script * Add ViTHybrid image processor * Add resources * Move bit to correct position * Fix auto mapping * Rename hybrid to Hybrid * Fix name in toctree * Fix READMEs' * Improve config * Simplify GroupNormActivation layer * fix test + make style * Improve config * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * remove comment * remove comment * replace * replace * remove all conv_layer * refactor norm_layer * revert x * add copied from * last changes + integration tests * make fixup * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix name * fix message * remove assert and refactor * refactor + make fixup * refactor - add + sfety checker * fix docstring + checkpoint names * fix merge issues * fix function name * fix copies * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix model checkpoint * fix doctest output * vit name on doc * fix name on doc * fix small nits * fixed integration tests * final changes - slow tests pass Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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NielsRogge authored
* Add SwinBackbone * Add hidden_states_before_downsampling support * Fix Swin tests * Improve conversion script * Add id2label mappings * Add vistas mapping * Update comments * Fix backbone * Improve tests * Extend conversion script * Add Swin conversion script * Fix style * Revert config attribute * Remove SwinBackbone from main init * Remove unused attribute * Use encoder for ResNet backbone * Improve conversion script and add integration test * Apply suggestion Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 06 Dec, 2022 1 commit
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Arthur authored
* fix cuda OOM by using single Prior * only send to device when used * use custom model * Skip the big slow test * Update tests/models/jukebox/test_modeling_jukebox.py Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com>
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- 05 Dec, 2022 5 commits
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Sylvain Gugger authored
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Sanchit Gandhi authored
* [Whisper] Fix decoder ids methods * enum property
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Younes Belkada authored
* add v1 with tests * add checker * simplified version * update docstring * better version * fix docstring + change order * make style * tests + change conditions * final tests * modify docstring * Update src/transformers/feature_extraction_utils.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * replace by `ValueError` * fix logic * apply suggestions * `dtype` is not needed * adapt suggestions * remove `_parse_args_to_device` Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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Kamal Raj Kanakarajan authored
* biogpt initial commit * updated init * fix faster decoding with use_cache * 1. fix input_ids and input_embeds with correct device 2. added _keys_to_ignore_on_load_missing 3. updated prepare_inputs_for_generation * add activation_dropout and scale_embedding * replace fsmt attention with bart attention * added test * run make fix-copies * doc init and fix build * updated README with proper information * 1. added tips to docs 2. updated BioGptTokenizer func * 1. added tokenizer test 2. refactor tokenizer * make fixup * add biogpt fairseq to hf converter * updated layer names more similar to original checkpoints * config update doc string and set defaults * added "#copied" from bart model and updated doc strings * enable model_input_names in tokenizer * 1. positionalembedding depending on attention_mask 2. added attention mask to prepare for generation * added test to verify past and generation * BioGptLMHeadModel -> BioGptForCausalLM * fix typo * tokenization and test Copyright and updated assertion * updated Copyright and one func at time in line * Copyright updates and minor doc fix * replace assertion with ValueError * rm extra space * added code syntax * revert cmnt position change * add tokenizer to auto * updated doc string * tokenizer doc string update * biogpt hub model update to microsoft/biogpt * make fixup * rm cmnt to fix flake8 5.0.4 vs 6 error
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Francisco Kurucz authored
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- 02 Dec, 2022 2 commits
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fatih authored
* init timesformer * apply fix-copies * reformat style * revert back some incoorect style updates * init timesformer * apply fix-copies * reformat style * revert back some incoorect style updates * update timseformer doc * add some functions and classes * add new config params * implement multiple classes * update TimeSformerLayer * update TimeSformerModel, TimeSformerPreTrainedModel, TimeSformerEncoder * several fixes * reformat * temporary update * fix some typos * fix weight converter * more fixes * fix a typo * fix typo * remove redundant params * fix for latest hf-hub * merge fix * fix some checks * video classification works with einops * add paper info to docs * merge fix * remove redundant line * remove redundant docstring * update config * fix some typos * fix converter * update some test constants * refactor einops functions * reformat * fix a comment * remove redundat imports * reformat * fix a typo * remove comment * remove unused imports * remove redundant doc line * reformat * add missing line * fix docs * fix timesformer auto feat ext * add unittests * reformat * fix docs * some fixes and updates * fix readme * fix modeling * fix readme * update index * revert _toctree.yml changes * update timseformer.mdx * update drop_path_prob to drop_path_rate * add dosctring for drop_path_rate * update TimeSformerPatchEmbed naming * remove to_2tuple * explicit use of nn.functional * reformat * many updates from review comments * fix a typo * reformat * remove assert, better variable name * make variable names more explicit * add some adapted from * more explicit variable names * remove redundant docstring * fix initilaization * move permute inside embedding * update class names * remove unused imports * add test for video classification * update PretrainedModel with PreTrainedModel * remove double permute * update based on sylvain's review * aply auto fix * update image_processing_auto for timesformer * update hub urls * reformat * remove duplicate import * update doc link
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Arthur authored
* fix cuda OOM by using single Prior * only send to device when used * use custom model
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- 30 Nov, 2022 4 commits
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Yang An authored
* init chinese-clip model from clip * init model tests and docs * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * implement chinese-clip into hf * update usecase example in model implementation * fix codestyle * fix model_type typo in readme * add placeholder in doc * add placeholder in doc * update the init script * update usecase * fix codestyle * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * update testcase * forward the convert_rgb * update testcase * update testcase * update testcase * merge the recent update from clip about model_input_name property * update the doc * update the doc * update the doc * update the doc * remove unused imports * reformat code style * update the doc * fix isort style * bypass a weird failed unit test which is unrelated with my PR * update the doc * implement independent vision config class * implement independent vision model class * fix refactor bug * fix refactor bug * fix refactor bug * make style * fix refactor bug * make style * fix refactor bug * fix refactor bug * make style * fix refactor bug * fix refactor bug * doc-build restyle * implement independent text config class * implement independent text model class * implement independent text model class * make style * make fix-copies * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * fix refactor bug * make style * update doc * black and isort * update doc * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/auto/tokenization_auto.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * modify the model type from chinese-clip to chinese_clip * format the example comment of ChineseCLIPVisionConfig * correct the copyright comment * fix the tokenizer specification * add copied from for loss function * remove unused class * update CHINESE_CLIP_TEXT_INPUTS_DOCSTRING * update CHINESE_CLIP_INPUTS_DOCSTRING * update doc * update doc * update code comment in config * update copied from statement * make style * rename the doc file * add copied statement * remove unused attention_mask, causal_attention_mask in ChineseCLIPVisionEncoder * remove ChineseCLIPTextPreTrainedModel * fix bug * fix bug * fix bug * update doc * make style * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/chinese_clip/configuration_chinese_clip.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * update ChineseCLIPImageProcessor in image_processing_auto * fix config_class of chinesecliptextmodel * fix the test case * update the docs * remove the copied from comment for ChineseCLIPTextModel, since it has diverged from BertModel with customed config_class * update the testcase * final fix Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com>
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Matt authored
* Fixed test_saved_model_extended * Fix TFGPT2 tests * make fixup * Make sure keras-nlp utils are available for type hinting too * Update src/transformers/testing_utils.py Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> * make fixup Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com>
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Arthur authored
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amyeroberts authored
* Add transforms for object detection * DETR models + Yolos * Scrappy additions * Maskformer image processor * Fix up; MaskFormer tests * Update owlvit processor * Add to docs * OwlViT tests * Update pad logic * Remove changes to transforms * Import fn directly * Update to include pad transformation * Remove uninstended changes * Add new owlvit post processing function * Tidy up * Fix copies * Fix some copies * Include device fix * Fix scipy imports * Update _pad_image * Update padding functionality * Fix bug * Properly handle ignore index * Fix up * Remove defaults to None in docstrings * Fix docstrings & docs * Fix sizes bug * Resolve conflicts in init * Cast to float after resizing * Tidy & add size if missing * Allow kwards when processing for owlvit * Update test values
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- 29 Nov, 2022 2 commits
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Pi Esposito authored
* add minimal working gpt2 tokenizer * graph mode and output equivalence tests working * not today tensorflow. serialization test passing! * fix style, documentation, docstrings and all that jazz * passing consistency checks * move keras nlp to tf dependencies * fix tf modeling utils and gpt2 attention to enable compiling * fix (I hope) keras nlp dependencies * rever changes on generation * remove debug prints * remove redundant tf dummy objects * add from config, get config and max length settings to address review * let flake ignore the error on distillation you are welcome * test from config * add padding test * address sgugger review
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amyeroberts authored
* Add Donut image processor * Update src/transformers/image_transforms.py Co-authored-by:
Alara Dirik <8944735+alaradirik@users.noreply.github.com> * Fix docstrings * Full var names in docstring Co-authored-by:
Alara Dirik <8944735+alaradirik@users.noreply.github.com>
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- 28 Nov, 2022 6 commits
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NielsRogge authored
* First draft * Fix backwards compatibility * More fixes * More fixes * Make backbone more general * Improve backbone * Improve test * Fix config checkpoint * Address comments * Use model_type * Address more comments * Fix special model names * Remove MaskFormerSwinModel and MaskFormerSwinPreTrainedModel from main init * Fix typo * Update backbone * Apply suggestion Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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NielsRogge authored
* Add hidden states and attentions to backbone outputs * Update ResNet * Fix more tests * Debug test * Fix test_determinism * Fix test_save_load * Remove file * Disable fx tests * Test * Add fx support for backbones Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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Arthur authored
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Lianmin Zheng authored
* [FLAX] Add dtype to embedding for bert/bart/opt/t5 * Fix all copies * Add a test case
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Matt authored
* Re-enable TF ESM tests, make sure we use facebook checkpoints * make fixup
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 25 Nov, 2022 1 commit
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Younes Belkada authored
* `accelerate` support for `OwlViT` - added `accelerate` support - added slow `fp16` tests * apply suggestions
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- 23 Nov, 2022 1 commit
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raghavanone authored
* change the way sentinel tokens can retrived * Fix line length for doc string * Fix line length for doc string * Add more stronger test for t5 tokenization * Format file changes * Make a stronger test for filtering sentinel tokens * fix file format issues
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- 22 Nov, 2022 4 commits
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Joao Gante authored
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NielsRogge authored
Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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Michael Nation authored
* Optimizes DonutProcessor token2json method for speed * Applies black formatting * Updates Donut pretrained model name in test file * remaining pytorch type hints (#20217) * Update modeling_flava.py * Update modeling_markuplm.py * Update modeling_glpn.py * Update modeling_roc_bert.py * Update modeling_segformer.py * Update modeling_tapas.py * Update modeling_tapas.py * Update modeling_tapas.py * Update modeling_tapas.py * Update modeling_trocr.py * Update modeling_videomae.py * Update modeling_videomae.py * Update modeling_videomae.py * Update modeling_yolos.py * Update modeling_wav2vec2.py * Update modeling_jukebox.py * Update modeling_jukebox.py * Update modeling_jukebox.py * Update modeling_jukebox.py * Data collator for token classification pads labels column when receives pytorch tensors (#20244) * token cls data_collator pads labels column * remove walrus operator for code quality * remove redundat space * remove comment that was fixed * PR comments fix Co-authored-by:
Alexander Markov <amarkov.me@gmail.com> * [Doctest] Add configuration_deformable_detr.py (#20273) * Update configuration_deformable_detr.py comment * Add DeformableDetrConfig to documentation_tests.txt * Fix summarization script (#20286) * [DOCTEST] Fix the documentation of RoCBert (#20142) * update part of the doc * add temp values, fix part of the doc * add template outputs * add correct models and outputss * style * fixup * [bnb] Let's warn users when saving 8-bit models (#20282) * add warning on 8-bit models - added tests - added wrapper * move to a private attribute - remove wrapper - changed `save_pretrained` method * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * fix suggestions Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Adding `zero-shot-object-detection` pipeline doctest. (#20274) * Adding `zero-shot-object-detection` pipeline doctest. * Remove nested_simplify. * Adding doctest for `object-detection` pipeline. (#20258) * Adding doctest for `object-detection` pipeline. * Removed nested_simplify. * Image transforms functionality used instead (#20278) * Image transforms functionality used instead * Import torch * Import rather than copy * Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py * TF: add test for `PushToHubCallback` (#20231) * test hub tf callback * create repo before cloning it * Generate: general TF XLA constrastive search are now slow tests (#20277) * move contrastive search test to slow * Fixing the doctests failures. (#20294) * Fixing the doctests failures. * Fixup. * set the default cache_enable to True, aligned with the default value in pytorch cpu/cuda amp autocast (#20289) Signed-off-by:
Wang, Yi A <yi.a.wang@intel.com> Signed-off-by:
Wang, Yi A <yi.a.wang@intel.com> * Add docstrings for canine model (#19457) * Add docstrings for canine model * Update CanineForTokenClassification Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> * Add AutoBackbone + ResNetBackbone (#20229) * Add ResNetBackbone * Define channels and strides as property * Remove file * Add test for backbone * Update BackboneOutput class * Remove strides property * Fix docstring * Add backbones to SHOULD_HAVE_THEIR_OWN_PAGE * Fix auto mapping name * Add sanity check for out_features * Set stage names based on depths * Update to tuple Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> * Add missing report button for Example test (#20293) Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> * refactor test (#20300) - simplifies the devce checking test * [Tiny model creation] deal with `ImageProcessor` (#20298) Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> * Fix blender bot missleading doc (#20301) * fix the doc to specify that add_prefix_space = False * add correct expected output * remove two tokens that should not be suppressed (#20302) * [ASR Examples] Update README for Whisper (#20230) * [ASR Examples] Update README for seq2seq * add language info * add training results * re-word * Add padding image transformation (#19838) * Add padding transformation * Add in upstream changes * Update tests & docs * Code formatting tuples in docstring * Pin TensorFlow (#20313) * Pin to the right version... * Also pin TensorFlow CPU * Add AnyPrecisionAdamW optimizer (#18961) * Add AnyPrecisionAdamW optimizer * Add optim_args argument to TrainingArgs * Add tests for AnyPrecisionOptimizer * Change AnyPrecisionAdam default params to float32 * Move default_anyprecision_kwargs in trainer test * Rename AnyPrecisionAdamW * [Proposal] Breaking change `zero-shot-object-detection` for improved consistency. (#20280) * [Proposal] Breaking change `zero-shot-object-detection` for improved consistency. This is a proposal to modify the output of `zero-shot-object-detection` to provide better alignment with other pipelines. The output is now strictly the same as `object-detection` whereas before it would output lists of lists. The name `candidate_labels` is used throughout for consistency with other `zero-shot` pipelines. The pipeline is changed to `ChunkPipeline` to support batching cleanly. This removes all the lists and list of lists shenanigans, it's now a matter of the base pipeline handling all this not this specific one. **Breaking change**: It did remove complex calls potentials `pipe(images = [image1, image2], text_queries=[candidates1, candidates2])` to support only `pipe([{"image": image1, "candidate_labels": candidates1}, {"image": image2, "candidate_labels": candidates2}])` when dealing with lists and/or datasets. We could keep them, but it will add a lot of complexity to the code base, since the pipeline is rather young, I'd rather break to keep the code simpler, but we can revert this. **Breaking change**: The name of the argument is now `image` instead of `images` since it expects by default only 1 image. This is revertable like the previous one. **Breaking change**: The types is now simplified and flattened: `pipe(inputs) == [{**object1}, {**object2}]` instead of the previous `pipe(inputs) == [[{**object1}, {**object1}], [{**object2}]]` Where the different instances would be grouped by candidate labels within lists. IMHO this is not really desirable, since it would output empty lists and is only adding superflous indirection compared to `zero-shot-object-detection`. It is relatively change free in terms of how the results, it does change computation however since now the batching is handled by the pipeline itself. It **did** change the results for the small models so there seems to be a real difference in how the models handle this. * Fixing the doctests. * Behind is_torch_available. * Fix flakey test with seed (#20318) * Pin TF 2.10.1 for Push CI (#20319) Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> * Remove double brackets (#20307) * remove double brackets * oops get other bracket * TF: future proof our keras imports (#20317) * future proof our tf code * parse tf versions * Add Neighborhood Attention Transformer (NAT) and Dilated NAT (DiNAT) models (#20219) * Add DiNAT * Adds DiNAT + tests * Minor fixes * Added HF model * Add natten to dependencies. * Cleanup * Minor fixup * Reformat * Optional NATTEN import. * Reformat & add doc to _toctree * Reformat (finally) * Dummy objects for DiNAT * Add NAT + minor changes Adds NAT as its own independent model + docs, tests Adds NATTEN to ext deps to ensure ci picks it up. * Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests * Minor fixes. * Fix READMEs. * Requested changes to docs + minor fixes. * Requested changes. * Add NAT/DiNAT tests to layoutlm_job * Correction to Dinat doc. * Requested changes. * organize pipelines by modality (#20306) * Fix torch device issues (#20304) * fix device issue Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> * Generate: add generation config class (#20218) Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * translate zh quicktour(#20095) (#20181) * zh quicktour(#20095) * add zh to doc workflow * remove untranslation from toctree Co-authored-by:
BeifangSusu <BeifangSusu@bfss.com> * Add Spanish translation of serialization.mdx (#20245) * Update _toctree and clone original content * Translate first three sections * Add more translated chapters. Only 3 more left. * Finish translation * Run style from doc-builder * Address recommended changes from reviewer * Add LayerScale to NAT/DiNAT (#20325) * Add LayerScale to NAT/DiNAT. Completely dropped the ball on LayerScale in the original PR (#20219). This is just an optional argument in both models, and is only activated for larger variants in order to provide training stability. * Add LayerScale to NAT/DiNAT. Minor error fixed. Co-authored-by:
Ali Hassani <ahassanijr@gmail.com> * [Switch Transformers] Fix failing slow test (#20346) * run slow test on GPU * remove unnecessary device assignment * use `torch_device` instead * fix: "BigSicence" typo in docs (#20331) * add MobileNetV1 model (#17799) * add model files etc for MobileNetV2 rename files for MobileNetV1 initial implementation of MobileNetV1 fix conversion script cleanup write docs tweaks fix conversion script extract hidden states fix test cases make fixup fixup it all remove main from doc link fixes fix tests fix up use google org fix weird assert * fixup * use google organization for checkpoints * Generate: `model_kwargs` can also be an input to `prepare_inputs_for_generation` (#20353) * Update Special Language Tokens for PLBART (#19980) * Update Special Language Tokens for PLBART * fix format * making mapping for language codes and updating tests: * fix format * fix consistency * add assert to both tokenizer tests. * fix format * Update src/transformers/models/plbart/tokenization_plbart.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * improvin readability, setting self.tgt_lang * fixing * readability Co-authored-by:
jordiclive <jordiclive19@imperial.ac.uk> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Add resources (#20296) Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> * Enhance HfArgumentParser functionality and ease of use (#20323) * Enhance HfArgumentParser * Fix type hints for older python versions * Fix and add tests (+formatting) * Add changes * doc-builder formatting * Remove unused import "Call" * Add Audio Spectogram Transformer (#19981) * First draft * Make conversion script work * Add id2label mapping, run code quality * Fix copies * Add first draft of feature extractor * Update conversion script to use feature extractor * Make more tests pass * Add docs * update input_features to input_values + pad by default to max length * Fix doc tests * Add feature extractor tests * Add proper padding/truncation to feature extractor * Add support for conversion of all audioset checkpoints * Improve docs and extend conversion script * Fix README * Rename spectogram to spectrogram * Fix copies * Add integration test * Remove dummy conv * Update to ast * Update organization * Fix init * Rename model to AST * Add require_torchaudio annotator * Move import of ASTFeatureExtractor under a is_speech_available * Fix rebase * Add pipeline config * Update name of classifier head * Rename time_dimension and frequency_dimension for clarity * Remove print statement * Fix pipeline test * Fix pipeline test * Fix index table * Fix init * Fix conversion script * Rename to ForAudioClassification * Fix index table Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> * Add inference section to task guides (#18781) *
📝 start adding inference section to task guides *✨ make style *📝 add multiple choice * add rest of inference sections * make style * add compute_metric, push_to_hub, pipeline * make style * add updated sequence and token classification * make style * make edits in token classification * add audio classification * make style * add asr * make style * add image classification * make style * add summarization * make style * add translation * make style * add multiple choice * add language modeling * add qa * make style * review and edits * apply reviews * make style * fix call to processor * apply audio reviews * update to better asr model * make style * Fix toctree for Section 3 in Spanish Documentation (#20360) * Order and group topics in the right section * Translate "Computer Vision" Signed-off-by:Wang, Yi A <yi.a.wang@intel.com> Co-authored-by:
IMvision12 <88665786+IMvision12@users.noreply.github.com> Co-authored-by:
Alexander Markov <almarkv@yandex.ru> Co-authored-by:
Alexander Markov <amarkov.me@gmail.com> Co-authored-by:
Saad Mahmud <shuvro.mahmud79@gmail.com> Co-authored-by:
Zachary Mueller <muellerzr@gmail.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
Wang, Yi <yi.a.wang@intel.com> Co-authored-by:
raghavanone <115454562+raghavanone@users.noreply.github.com> Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> Co-authored-by:
atturaioe <76523524+atturaioe@users.noreply.github.com> Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by:
Ali Hassani <68103095+alihassanijr@users.noreply.github.com> Co-authored-by:
BFSS <31245245+bfss@users.noreply.github.com> Co-authored-by:
BeifangSusu <BeifangSusu@bfss.com> Co-authored-by:
Ian C <7807897+donelianc@users.noreply.github.com> Co-authored-by:
Ali Hassani <ahassanijr@gmail.com> Co-authored-by:
Raj Rajhans <me@rajrajhans.com> Co-authored-by:
Matthijs Hollemans <mail@hollance.com> Co-authored-by:
Jordan Clive <jordan.clive19@imperial.ac.uk> Co-authored-by:
jordiclive <jordiclive19@imperial.ac.uk> Co-authored-by:
Konstantin Dobler <konstantin.j.dobler@gmail.com>
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Sylvain Gugger authored
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- 21 Nov, 2022 5 commits
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NielsRogge authored
* First draft * Make conversion script work * Add id2label mapping, run code quality * Fix copies * Add first draft of feature extractor * Update conversion script to use feature extractor * Make more tests pass * Add docs * update input_features to input_values + pad by default to max length * Fix doc tests * Add feature extractor tests * Add proper padding/truncation to feature extractor * Add support for conversion of all audioset checkpoints * Improve docs and extend conversion script * Fix README * Rename spectogram to spectrogram * Fix copies * Add integration test * Remove dummy conv * Update to ast * Update organization * Fix init * Rename model to AST * Add require_torchaudio annotator * Move import of ASTFeatureExtractor under a is_speech_available * Fix rebase * Add pipeline config * Update name of classifier head * Rename time_dimension and frequency_dimension for clarity * Remove print statement * Fix pipeline test * Fix pipeline test * Fix index table * Fix init * Fix conversion script * Rename to ForAudioClassification * Fix index table Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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Jordan Clive authored
* Update Special Language Tokens for PLBART * fix format * making mapping for language codes and updating tests: * fix format * fix consistency * add assert to both tokenizer tests. * fix format * Update src/transformers/models/plbart/tokenization_plbart.py Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * improvin readability, setting self.tgt_lang * fixing * readability Co-authored-by:
jordiclive <jordiclive19@imperial.ac.uk> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com>
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Matthijs Hollemans authored
* add model files etc for MobileNetV2 rename files for MobileNetV1 initial implementation of MobileNetV1 fix conversion script cleanup write docs tweaks fix conversion script extract hidden states fix test cases make fixup fixup it all remove main from doc link fixes fix tests fix up use google org fix weird assert * fixup * use google organization for checkpoints
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Younes Belkada authored
* run slow test on GPU * remove unnecessary device assignment * use `torch_device` instead
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Yih-Dar authored
* fix device issue Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 18 Nov, 2022 1 commit
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Ali Hassani authored
* Add DiNAT * Adds DiNAT + tests * Minor fixes * Added HF model * Add natten to dependencies. * Cleanup * Minor fixup * Reformat * Optional NATTEN import. * Reformat & add doc to _toctree * Reformat (finally) * Dummy objects for DiNAT * Add NAT + minor changes Adds NAT as its own independent model + docs, tests Adds NATTEN to ext deps to ensure ci picks it up. * Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests * Minor fixes. * Fix READMEs. * Requested changes to docs + minor fixes. * Requested changes. * Add NAT/DiNAT tests to layoutlm_job * Correction to Dinat doc. * Requested changes.
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- 17 Nov, 2022 1 commit
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NielsRogge authored
* Add ResNetBackbone * Define channels and strides as property * Remove file * Add test for backbone * Update BackboneOutput class * Remove strides property * Fix docstring * Add backbones to SHOULD_HAVE_THEIR_OWN_PAGE * Fix auto mapping name * Add sanity check for out_features * Set stage names based on depths * Update to tuple Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 16 Nov, 2022 1 commit
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Alara Dirik authored
Adds image-guided object detection method to OwlViTForObjectDetection class as described in the original paper. One-shot/ image-guided object detection enables users to use a query image to search for similar objects in the input image. Co-Authored-By: Dhruv Karan k4r4n.dhruv@gmail.com
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- 15 Nov, 2022 1 commit
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Suraj Patil authored
* allow loading projection in text and vision model * begin tests * finish test for CLIPTextModelTest * style * add slow tests * add new classes for projection heads * remove with_projection * add in init * add in doc * fix tests * fix some more tests * fix copies * fix docs * remove leftover from fix-copies * add the head models in IGNORE_NON_AUTO_CONFIGURED * fix docstr * fix tests * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * add docstr for models Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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