- 06 Feb, 2023 1 commit
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Nicolas Patry authored
* Removing `more_itertools` dependency. * Update examples/research_projects/vqgan-clip/requirements.txt
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- 31 Jan, 2023 1 commit
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NielsRogge authored
* First draft * Add initial draft of conversion script * Convert all weights * Fix config * Add image processor * Fix DetaImageProcessor * Run make fix copies * Remove timm dependency * Fix dummy objects * Improve loss function * Remove conv_encoder attribute * Update conversion scripts * Improve postprocessing + docs * Fix copied from statements * Add tests * Improve postprocessing * Improve postprocessing * Update READMEs * More improvements * Fix rebase * Add is_torchvision_available * Add torchvision dependency * Fix typo and README * Fix bug * Add copied from * Fix style * Apply suggestions * Fix thanks to @ydshieh * Fix another dependency check * Simplify image processor * Add scipy * Improve code * Add threshold argument * Fix bug * Set default threshold * Improve integration test * Add another integration test * Update setup.py * Address review * Improve deformable attention function * Improve copied from * Use relative imports * Address review * Replace assertions * Address review * Update dummies * Remove dummies * Address comments, update READMEs * Remove custom kernel code * Add image processor tests * Add requires_backends * Add minor comment * Update scripts * Update organization name * Fix defaults, add doc tests * Add id2label for object 365 * Fix tests * Update task guide
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- 19 Jan, 2023 1 commit
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Clémentine Fourrier authored
* [FT] First commit for graphormer architecture. The model has no tokenizer, as it uses a collator and preprocessing function for its input management. Architecture to be tested against original one. The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read. TODO: doc * [FIX] removed test model * [FIX] import error * [FIX] black and flake * [DOC] added paper refs * [FIX] [DOC] * [FIX] black * [DOC] Updated READMEs * [FIX] Order of imports + rm Tokenizer calls * [FIX] Moved assert in class to prevent doc build failure * [FIX] make fix-copies * [Doc] update from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * [FIX] Removed Graphormer from Sequence classification model list * [DOC] Added HF copyright to Cython file * [DOC] Fixed comments * [FIX] typos in class doc + removed config classes. Todo: update doc from paper definitions * [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management * [FIX] Homogeneized initialization of weights to pretrained constructor * [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation * [DOC] Relevant parameter description in the configuration file * [DOC] Updated doc and comments in main graphormer file * [FIX] make style and quality checks * [DOC] Fix doc format * [FIX] [WIP] Updated part of the tests, though still a wip * [FIX] [WIP] * [FIX] repo consistency * [FIX] Changed input names for more understandability * [FIX] [BUG] updated num_classes params for propagation in the model * simplified collator * [FIX] Updated tests to follow new naming pattern * [TESTS] Updated test suite along with model * |FIX] rm tokenizer import * [DOC] add link to graphormerdoc * Changed section in doc from text model to graph model * Apply suggestions from code review Spacing, inits Co-authored-by:
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- 18 Jan, 2023 1 commit
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jeffhataws authored
* Add XLA torchrun support * Clarify that currently DDP doesn't work with torch.distributed XLA backend yet * Enable DDP with torchrun and XLA (now available in PT-XLA 1.13) * Add check for AWS Neuron availability and AWS Neuron specific compiler flag * Change the new test's name to TestTrainerDistributedNeuronCore * Remove "assert" and replace raised exception * Remove compiler flag as it is optional. If needed, will be another PR. * Use TORCHELASTIC_RUN_ID to determine whether torchrun is used
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- 14 Dec, 2022 1 commit
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amyeroberts authored
* Replaces xxx_required with requires_backends * Fixup
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- 08 Dec, 2022 2 commits
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Nathan Raw authored
*
🚧 wip video classification pipeline *🚧 wip - add is_decord_available check *🐛 add missing import *✅ add tests *🔧 add decord to setup extras *🚧 add is_decord_available *✨ add video-classification pipeline *📝 add video classification pipe to docs *🐛 add missing VideoClassificationPipeline import *📌 add decord install in test runner *✅ fix url inputs to video-classification pipeline *✨ updates from review *📝 add video cls pipeline to docs *📝 add docstring *🔥 remove unused import *🔥 remove some code *📝 docfix -
Sylvain Gugger authored
* Migrate torchdynamo to torch.compile * Add docstring and generic option * Properly use the function... * Reorg args
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- 05 Dec, 2022 1 commit
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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:
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- 29 Nov, 2022 1 commit
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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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- 21 Nov, 2022 1 commit
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Joao Gante authored
Co-authored-by:
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- 18 Nov, 2022 2 commits
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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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atturaioe authored
* 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
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- 15 Nov, 2022 1 commit
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Yih-Dar authored
* Allow trainer to return loss for CLIP-like models * Apply suggestions * update * update * update Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 14 Nov, 2022 1 commit
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Bartosz Szmelczynski authored
* First draft * Remove scatter dependency * Add require_torch * update vectorized sum test, add clone call * remove artifacts * fix style * fix style v2 * remove "scatter" mentions from the code base * fix isort error Co-authored-by:
Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local> Co-authored-by:
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- 27 Oct, 2022 1 commit
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Sylvain Gugger authored
* Wip * Add safetensors support for TensorFlow * First tests * Add final test for now * Retrigger CI like this * Update src/transformers/modeling_tf_utils.py Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> Co-authored-by:
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- 26 Oct, 2022 1 commit
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raghavanone authored
* Change the import of kenlm from github to pypi * Change the import of kenlm from github to pypi in circleci config * Fix code quality issues * Fix isort issue, add kenlm in extras for audio * Add kenlm to deps * Add kenlm to deps * Commit 'make fixup' changes * Remove version from kenlm deps * commit make fixup changes * Remove manual installation of kenlm * Remove manual installation of kenlm * Remove manual installation of kenlm
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- 24 Oct, 2022 1 commit
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Sylvain Gugger authored
* Refactor conversion function * Remove dupe line * Fixes * Fixes * Use the right variable... * Fix last test
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- 21 Oct, 2022 1 commit
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Sylvain Gugger authored
* Make public versions of private utils * I need sleep
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- 12 Oct, 2022 1 commit
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amyeroberts authored
* Adapt FE methods to transforms library * Mixin for saving the image processor * Base processor skeleton * BatchFeature for packaging image processor outputs * Initial image processor for GLPN * REmove accidental import * Fixup and docs * Mixin for saving the image processor * Fixup and docs * Import BatchFeature from feature_extraction_utils * Fixup and docs * Fixup and docs * Fixup and docs * Fixup and docs * BatchFeature for packaging image processor outputs * Import BatchFeature from feature_extraction_utils * Import BatchFeature from feature_extraction_utils * Fixup and docs * Fixup and docs * BatchFeature for packaging image processor outputs * Import BatchFeature from feature_extraction_utils * Fixup and docs * Mixin for saving the image processor * Fixup and docs * Add rescale back and remove ImageType * fix import mistake * Fix enum var reference * Can transform and specify image data format * Remove redundant function * Update reference * Data format flag for rescale * Fix typo * Fix dimension check * Fixes to make IP and FE outputs match * Add tests for transforms * Add test for utils * Update some docstrings * Make sure in channels last before converting to PIL * Remove default to numpy batching * Fix up * Add docstring and model_input_types * Use feature processor config from hub * Alias GLPN feature extractor to image processor * Alias feature extractor mixin * Add return_numpy=False flag for resize * Fix up * Fix up * Use different frameworks safely * Safely import PIL * Call function checking if PIL available * Only import if vision available * Address Sylvain PR comments Co-authored-by: Sylvain.gugger@gmail.com * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> Co-authored-by:
Alara Dirik <8944735+alaradirik@users.noreply.github.com> * Update src/transformers/models/glpn/feature_extraction_glpn.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add in docstrings * Fix TFSwinSelfAttention to have relative position index as non-trainable weight (#18226) Signed-off-by:
Seunghwan Hong <seunghwan@scatterlab.co.kr> * Refactor `TFSwinLayer` to increase serving compatibility (#18352) * Refactor `TFSwinLayer` to increase serving compatibility Signed-off-by:
Seunghwan Hong <harrydrippin@gmail.com> Co-Authored-By:
😬 (#18489) * Delete valohai.yaml * NLP => ML * typo * website supports https * datasets * 60k + modalities * unrelated link fixing for accelerate * Ok those links were actually broken * Fix link * Make `AutoTokenizer` auto-link * wording tweak * add at least one non-nlp task * `transformers-cli login` => `huggingface-cli login` (#18490) * zero chance anyone's using that constant no? * `transformers-cli login` => `huggingface-cli login` * `transformers-cli repo create` => `huggingface-cli repo create` * `make style` * Add seed setting to image classification example (#18519) * [DX fix] Fixing QA pipeline streaming a dataset. (#18516) * [DX fix] Fixing QA pipeline streaming a dataset. QuestionAnsweringArgumentHandler would iterate over the whole dataset effectively killing all properties of the pipeline. This restores nice properties when using `Dataset` or `Generator` since those are meant to be consumed lazily. * Handling TF better. * Clean up hub (#18497) * Clean up utils.hub * Remove imports * More fixes * Last fix * update fsdp docs (#18521) * updating fsdp documentation * typo fix * Fix compatibility with 1.12 (#17925) * Fix compatibility with 1.12 * Remove pin from examples requirements * Update torch scatter version * Fix compatibility with 1.12 * Remove pin from examples requirements * Update torch scatter version * fix torch.onnx.symbolic_opset12 import * Reject bad version Co-authored-by:Ankur Goyal <ankur@impira.com> * New cache fixes: add safeguard before looking in folders (#18522) * unpin resampy (#18527) Co-authored-by:
✨ update to use interlibrary links instead of Markdown (#18500) * Add example of multimodal usage to pipeline tutorial (#18498) *📝 add example of multimodal usage to pipeline tutorial *🖍 apply feedbacks *🖍 apply niels feedback * [VideoMAE] Add model to doc tests (#18523) * Add videomae to doc tests * Add pip install decord Co-authored-by:Omar U. Espejel <espejelomar@gmail.com> Co-authored-by:
Thomas Wang <24695242+thomasw21@users.noreply.github.com> * more comments - added more comments on why we cast only floating point parameters * Update src/transformers/modeling_utils.py Co-authored-by:
📝 update metric with evaluate (#18535) * Restore _init_weights value in no_init_weights (#18504) * Recover _init_weights value in no_init_weights For potential nested use. In addition, users might modify private no_init_weights as well. * Apply suggestions from code review Co-authored-by:📝 update documentation build section (#18548) * `bitsandbytes` - `Linear8bitLt` integration into `transformers` models (#17901) * first commit * correct replace function * add final changes - works like charm! - cannot implement tests yet - tested * clean up a bit * add bitsandbytes dependencies * working version - added import function - added bitsandbytes utils file * small fix * small fix - fix import issue * fix import issues * Apply suggestions from code review Co-authored-by:Michael Benayoun <mickbenayoun@gmail.com> * add few comments * add more doctring + make style * more docstring * raise error when loaded in 8bit * make style * add warning if loaded on CPU * add small sanity check * fix small comment * add bitsandbytes on dockerfile * Improve documentation - improve documentation from comments * add few comments * slow tests pass on the VM but not on the CI VM * Fix merge conflict * make style * another test should pass on a multi gpu setup * fix bad import in testing file * Fix slow tests - remove dummy batches - no more CUDA illegal memory errors * odify dockerfile * Update docs/source/en/main_classes/model.mdx * Update Dockerfile * Update model.mdx * Update Dockerfile * Apply suggestions from code review * few modifications - lm head can stay on disk/cpu - change model name so that test pass * change test value - change test value to the correct output - torch bmm changed to baddmm in bloom modeling when merging * modify installation guidelines * Apply suggestions from code review Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update examples/tensorflow/test_tensorflow_examples.py Co-authored-by:
Julien Chaumond <julien@huggingface.co> * Address Julien's comments Co-authored-by:
📝 update philosophy to include other preprocessing classes *🖍 apply feedbacks * Properly move cache when it is not in default path (#18563) * Adds CLIP to models exportable with ONNX (#18515) * onnx config for clip * default opset as 14 * changes from the original repo * input values order fix * outputs fix * remove unused import * ran make fix-copies * black format * review comments: forward ref, import fix, model change revert, .to cleanup * make style * formatting fixes * revert groupvit * comment for cast to int32 * comment fix * make .T as .t() for onnx conversion * ran make fix-copies * remove unneeded comment Co-authored-by:Maxime Gardoni <maxime.gardoni@ecorobotix.com> * Fix resizing bug in OWL-ViT (#18573) * Fixes resizing bug in OWL-ViT * Defaults to square resize if size is set to an int * Sets do_center_crop default value to False * Fix LayoutLMv3 documentation (#17932) * fix typos * fix sequence_length docs of LayoutLMv3Model * delete trailing white spaces * fix layoutlmv3 docs more * apply make fixup & quality * change to two versions of input docstring * apply make fixup & quality * Skip broken tests * Change BartLearnedPositionalEmbedding's forward method signature to support Opacus training (#18486) * changing BartLearnedPositionalEmbedding forward signature and references to it * removing debugging dead code (thanks style checker) * blackened modeling_bart file * removing copy inconsistencies via make fix-copies * changing references to copied signatures in Bart variants * make fix-copies once more * using expand over repeat (thanks @michaelbenayoun) * expand instead of repeat for all model copies Co-authored-by:
Daniel Jones <jonesdaniel@microsoft.com> * german docs translation (#18544) * Create _config.py * Create _toctree.yml * Create index.mdx not sure about "du / ihr" oder "sie" * Create quicktour.mdx * Update _toctree.yml * Update build_documentation.yml * Update build_pr_documentation.yml * fix build * Update index.mdx * Update quicktour.mdx * Create installation.mdx * Update _toctree.yml * Deberta V2: Fix critical trace warnings to allow ONNX export (#18272) * Fix critical trace warnings to allow ONNX export * Force input to `sqrt` to be float type * Cleanup code * Remove unused import statement * Update model sew * Small refactor Co-authored-by:
dependabot[bot] <support@github.com> Signed-off-by:
dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump nbconvert in /examples/research_projects/visual_bert (#18566) Bumps [nbconvert](https://github.com/jupyter/nbconvert) from 6.0.1 to 6.3.0. - [Release notes](https://github.com/jupyter/nbconvert/releases) - [Commits](https://github.com/jupyter/nbconvert/compare/6.0.1...6.3.0 ) --- updated-dependencies: - dependency-name: nbconvert dependency-type: direct:production ... Signed-off-by:
Wang, Yi A <yi.a.wang@intel.com> * Update docs/source/en/perf_train_cpu_many.mdx Co-authored-by:
sanchit-gandhi <sanchit@huggingface.co> * mac m1 `mps` integration (#18598) * mac m1 `mps` integration * Update docs/source/en/main_classes/trainer.mdx Co-authored-by:
Dan Saattrup Nielsen <47701536+saattrupdan@users.noreply.github.com> * resolve comment Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * Apply suggestions from code review * Apply suggestions from code review * Apply suggestions from code review * put in one block - put bash instructions in one block * update readme - refactor a bit hardware requirements * change text a bit * Apply suggestions from code review Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> * apply suggestions Co-authored-by:
lewtun <lewis.c.tunstall@gmail.com> Co-authored-by:
Amy Roberts <amyeroberts@users.noreply.github.com> Co-authored-by:
regisss <15324346+regisss@users.noreply.github.com> Co-authored-by:
Nicolas Patry <patry.nicolas@protonmail.com> Co-authored-by:
Sourab Mangrulkar <13534540+pacman100@users.noreply.github.com> Co-authored-by:
Ankur Goyal <ankrgyl@gmail.com> Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by:
Mishig Davaadorj <dmishig@gmail.com> Co-authored-by:
Rasmus Arpe Fogh Jensen <Rasmus.arpe@gmail.com> Co-authored-by:
Ian Castillo <7807897+donelianc@users.noreply.github.com> Co-authored-by:
AguilaCudicio <aguila.cudicio@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
Niklas Hansson <niklas.sven.hansson@gmail.com> Co-authored-by:
Thomas Chaigneau <t.chaigneau.tc@gmail.com> Co-authored-by:
YouJiacheng <1503679330@qq.com> Co-authored-by:
Matt <Rocketknight1@users.noreply.github.com> Co-authored-by:
Dhruv Karan <k4r4n.dhruv@gmail.com> Co-authored-by:
Michael Wyatt <mrwyattii@gmail.com> Co-authored-by:
Maxime G <joihn@users.noreply.github.com> Co-authored-by:
Wonseok Lee (Jack) <rollerkid02@snu.ac.kr> Co-authored-by:
Dan Jones <dan.j.jones2@gmail.com> Co-authored-by:
flozi00 <flozi00.fz@gmail.com> Co-authored-by:
iiLaurens <iiLaurens@users.noreply.github.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> Co-authored-by:
Niklas Muennighoff <n.muennighoff@gmail.com> Co-authored-by:
Karim Foda <35491698+KMFODA@users.noreply.github.com> Co-authored-by:
zhoutang776 <47708118+zhoutang776@users.noreply.github.com> Co-authored-by:
Stefan Schweter <stefan@schweter.it> Co-authored-by:
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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:
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 * Update docs/source/en/model_doc/whisper.mdx Co-authored-by:
NielsRogge <niels.rogge1@gmail.com> Co-authored-by:
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r-terada authored
* add sudachipy and jumanpp tokenizers for bert_japanese * use ImportError instead of ModuleNotFoundError in SudachiTokenizer and JumanppTokenizer * put test cases of test_tokenization_bert_japanese in one line * add require_sudachi and require_jumanpp decorator for testing * add sudachi and pyknp(jumanpp) to dependencies * remove sudachi_dict_small and sudachi_dict_full from dependencies * empty commit for ci
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- 30 Sep, 2022 2 commits
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Sylvain Gugger authored
* Poc to use safetensors * Typo * Final version * Add tests * Save with the right name! * Update tests/test_modeling_common.py Co-authored-by:
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NielsRogge authored
* First draft * Make basic test work * Fix most tokenizer tests * More improvements * Make more tests pass * Fix more tests * Fix some code quality * Improve truncation * Implement feature extractor * Improve feature extractor and add tests * Improve feature extractor tests * Fix pair_input test partly * Add fast tokenizer * Improve implementation * Fix rebase * Fix rebase * Fix most of the tokenizer tests. * propose solution for fast * add: integration test for fasttokenizer, warning for decode, fix template in slow tokenizer * add: modify markuplmconverter * add: some modify on converter and tokenizerfast * Fix style, copies * Make fixup * Update tokenization_markuplm.py * Update test_tokenization_markuplm.py * Update markuplm related * Improve processor, add integration test * Add processor test file * Improve processor * Improve processor tests * Fix more processor tests * Fix processor tests * Update docstrings * Add Copied from statements * Add more Copied from statements * Add code examples * Improve code examples * Add model to doc tests * Adding dependency check * Add dummy file * Add requires_backends * Add model to toctree * Fix more things, disable dependency check for now * Apply more suggestions * Add soft dependency * Add annotators to tests * Fix style * Remove from_slow=True * Remove print statements * Add sanity check * Fix processor test * Fix processor tests, add more docs * Add doc tests for mdx file * Add more tips * Apply suggestions Co-authored-by:
lockon-n <45759388+lockon-n@users.noreply.github.com> Co-authored-by:
SaulLu <lucilesaul.com@gmail.com> Co-authored-by:
lockon-n <dd098309@126.com>
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- 14 Sep, 2022 1 commit
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Sylvain Gugger authored
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- 13 Sep, 2022 1 commit
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Sylvain Gugger authored
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- 10 Aug, 2022 1 commit
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Sylvain Gugger authored
* Use commit hash to look in cache instead of calling head * Add tests * Add attr for local configs too * Stupid typos * Fix tests * Update src/transformers/utils/hub.py Co-authored-by:
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- 08 Aug, 2022 1 commit
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Sylvain Gugger authored
* Clean up utils.hub * Remove imports * More fixes * Last fix
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- 05 Aug, 2022 1 commit
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Sylvain Gugger authored
* Draft new cached_file * Initial draft for config and model * Small fixes * Fix first batch of tests * Look in cache when internet is down * Fix last tests * Bad black, not fixing all quality errors * Make diff less * Implement change for TF and Flax models * Add tokenizer and feature extractor * For compatibility with main * Add utils to move the cache and auto-do it at first use. * Quality * Deal with empty commit shas * Deal with empty etag * Address review comments
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- 04 Aug, 2022 1 commit
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NielsRogge authored
* First draft * Add VideoMAEForVideoClassification * Improve conversion script * Add VideoMAEForPreTraining * Add VideoMAEFeatureExtractor * Improve VideoMAEFeatureExtractor * Improve docs * Add first draft of model tests * Improve VideoMAEForPreTraining * Fix base_model_prefix * Make model take pixel_values of shape (B, T, C, H, W) * Add loss computation of VideoMAEForPreTraining * Improve tests * Improve model testsé * Make all tests pass * Add VideoMAE to main README * Add tests for VideoMAEFeatureExtractor * Add integration test * Improve conversion script * Rename patch embedding class * Remove VideoMAELayer from init * Update design of patch embeddings * Improve comments * Improve conversion script * Improve conversion script * Add conversion of pretrained model * Add loss verification of pretrained model * Add loss verification of unnormalized targets * Add integration test for pretraining model * Apply suggestions from code review * Fix bug to make feature extractor resize only shorter edge * Address more comments * Improve normalization of videos * Add doc examples * Move constants to dedicated script * Remove scripts * Transfer checkpoints, fix docs * Update script * Update image mean and std * Fix doc tests * Set return_tensors to NumPy by default * Revert the previous change Co-authored-by:
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- 01 Aug, 2022 1 commit
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Sylvain Gugger authored
* Rewrite push_to_hub to use upload_files * Adapt the doc a bit * Address review comments and clean doc
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- 27 Jul, 2022 2 commits
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Wang, Yi authored
* start from 1.12, torch_ccl is renamed as oneccl_bindings_for_pytorch and should import it before use Signed-off-by:
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Sylvain Gugger authored
* Fix sacremoses sof dependency for Transofmers XL * Add function to the submodule init
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- 13 Jul, 2022 1 commit
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Wei authored
* enable fx2trt * Update perf_train_gpu_one.mdx * Update perf_train_gpu_one.mdx * add lib check * update * format * update * fix import check * fix isort * improve doc * refactor ctx manager * fix isort * black format * isort fix * fix format * update args * update black * cleanups * Update perf_train_gpu_one.mdx * code refactor * code refactor to init * remove redundancy * isort * replace self.args with args Co-authored-by:Stas Bekman <stas@stason.org>
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- 27 Jun, 2022 1 commit
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Matt authored
* Add a TF in-graph tokenizer for BERT * Add from_pretrained * Add proper truncation, option handling to match other tokenizers * Add proper imports and guards * Add test, fix all the bugs exposed by said test * Fix truncation of paired texts in graph mode, more test updates * Small fixes, add a (very careful) test for savedmodel * Add tensorflow-text dependency, make fixup * Update documentation * Update documentation * make fixup * Slight changes to tests * Add some docstring examples * Update tests * Update tests and add proper lowercasing/normalization * make fixup * Add docstring for padding! * Mark slow tests * make fixup * Fall back to BertTokenizerFast if BertTokenizer is unavailable * Fall back to BertTokenizerFast if BertTokenizer is unavailable * make fixup * Properly handle tensorflow-text dummies
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- 22 Jun, 2022 1 commit
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Arthur authored
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- 21 Jun, 2022 1 commit
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Arthur authored
* initial commit * update modeeling tf utils * quality * clean and update args * update * remove potential bug * code quality * update * update max shard * update tests for sharding from pretrained * fix remaining test * make style * h5py if tf available * update and fix test * fix test * style * modified push to hub to support shard for TF * quick fix * update code * merge branch main and style * Apply suggestions from code review Co-authored-by:
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- 16 Jun, 2022 1 commit
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Sylvain Gugger authored
* Refine BF16 check in CPU/GPU * Fixes * Renames
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- 08 Jun, 2022 1 commit
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jianan-gu authored
Extend Transformers Trainer Class to Enable CPU AMP and Integrate Intel Extension for PyTorch (#17138) * init PR * fix import ipex * minor fix on bf16 * refine optimizer * refine args notes * refine code * refine ipex optimize args * refine half_precision_backend * black format * isort format * isort format files * flake8 format * doc builder format * refine codes * remove jit and optim bits * black preview format * Update src/transformers/trainer.py Co-authored-by:
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- 07 Jun, 2022 1 commit
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Sylvain Gugger authored
* Add examples telemetry * Alternative approach * Add to all other examples * Add to templates as well * Put framework separately * Same for TensorFlow
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- 25 May, 2022 1 commit
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Animesh Jain authored
* Support compilation via Torchdynamo, AOT Autograd, NVFuser * Address comments * Lint * Stas comments - missing quality test * Lintere * Quality test * Doc lint * Reset CUDA peak mem * Add CustomTrainer * require a single gpu Co-authored-by:
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