- 16 Apr, 2021 2 commits
-
-
Sylvain Gugger authored
* Bulk of the work * Polish and tests * Update QA Trainer * Avoid breaking the predict method * Deprecation warnings * Store real eval dataloder * Get eval dataset reference before wrap
-
Nicolas Patry authored
* [WIP] Enabling multilingual models for translation pipelines. * decoder_input_ids -> forced_bos_token_id * Improve docstring. * Rebase * Fixing 2 bugs - Type token_ids coming from `_parse_and_tokenize` - Wrong index from tgt_lang. * Fixing black version. * Adding tests for _build_translation_inputs and add them for all tokenizers. * Mbart actually puts the lang code at the end. * Fixing m2m100. * Adding TF support to `deep_round`. * Update src/transformers/pipelines/text2text_generation.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Adding one line comment. * Fixing M2M100 `_build_translation_input_ids`, and fix the call site. * Fixing tests + deep_round -> nested_simplify Co-authored-by:
-
- 15 Apr, 2021 2 commits
-
-
Sylvain Gugger authored
* Save fast tokenizers in both formats * Fix for HerBERT * Proper fix * Properly test new behavior
-
Nicolas Patry authored
* Adding task aliases and adding `token-classification` and `text-classification` tasks. * Cleaning docstring.
-
- 14 Apr, 2021 2 commits
-
-
Sylvain Gugger authored
* IterableDatasetShard * Test and integration in Trainer * Update src/transformers/trainer_pt_utils.py Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Style Co-authored-by:
-
Stas Bekman authored
* test on one node 2 gpus max * fix the other place * refactor * fix * cleanup * more exact version
-
- 13 Apr, 2021 2 commits
-
-
Stas Bekman authored
* temp band-aid * style
-
Sylvain Gugger authored
* Replace error by warning when loading an architecture in another * Style * Style again * Add a test * Adapt old test
-
- 12 Apr, 2021 2 commits
-
-
Philipp Schmid authored
* increased train_runtime for model parallelism * added documentation for framework upgrade
-
NielsRogge authored
* First draft of deit * More improvements * Remove DeiTTokenizerFast from init * Conversion script works * Add DeiT to ViT conversion script * Add tests, add head model, add support for deit in vit conversion script * Update model checkpoint names * Update image_mean and image_std, set resample to bicubic * Improve docs * Docs improvements * Add DeiTForImageClassificationWithTeacher to init * Address comments by @sgugger * Improve feature extractors * Make fix-copies * Minor fixes * Address comments by @patil-suraj * All models uploaded * Fix tests * Remove labels argument from DeiTForImageClassificationWithTeacher * Fix-copies, style and quality * Fix tests * Fix typo * Multiple docs improvements * More docs fixes
-
- 09 Apr, 2021 4 commits
-
-
Sylvain Gugger authored
-
Philipp Schmid authored
* added json dump and extraction of train run time * make style happy
-
Kevin Canwen Xu authored
* Add a special tokenizer for CPM model * make style * fix * Add docs * styles * cpm doc * fix ci * fix the overview * add test * make style * typo * Custom tokenizer flag * Add REAMDE.md Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
-
Sylvain Gugger authored
-
- 08 Apr, 2021 6 commits
-
-
Sylvain Gugger authored
* Add support for multiple models for one config in auto classes * Use get_values everywhere * Prettier doc
-
Stas Bekman authored
* relocate core integration tests * add sys.path context manager * cleanup * try * try2 * fix path * doc * style * add dep * add 2 more deps
-
Andrea Cappelli authored
* Add mlm collator pad to multiple option (#10627) * Use padding to 8x in run mlm (#10627)
-
Philipp Schmid authored
-
Julien Demouth authored
* Add support for NVIDIA Megatron models * Add support for NVIDIA Megatron GPT2 and BERT Add the megatron_gpt2 model. That model reuses the existing GPT2 model. This commit includes a script to convert a Megatron-GPT2 checkpoint downloaded from NVIDIA GPU Cloud. See examples/megatron-models/README.md for details. Add the megatron_bert model. That model is implemented as a modification of the existing BERT model in Transformers. This commit includes a script to convert a Megatron-BERT checkpoint downloaded from NVIDIA GPU Cloud. See examples/megatron-models/README.md for details. * Update src/transformers/models/megatron_bert/configuration_megatron_bert.py Co-authored-by:
Julien Demouth <jdemouth@nvidia.com> Co-authored-by:
-
Stas Bekman authored
* synced gpus * fix * fix * need to use t5-small for quality tests * notes * complete merge * fix a disappearing std stream problem * start zero3 tests * wip * tune params * sorting out the pre-trained model loading * reworking generate loop wip * wip * style * fix tests * split the tests * refactor tests * wip * parameterized * fix * workout the resume from non-ds checkpoint pass + test * cleanup * remove no longer needed code * split getter/setter functions * complete the docs * suggestions * gpus and their compute capabilities link * Apply suggestions from code review Co-authored-by:
-
- 07 Apr, 2021 3 commits
-
-
Stas Bekman authored
* handle version requirement ranges * add mixed requirement test * cleanup
-
Vasudev Gupta authored
-
Stas Bekman authored
* The 'warn' method is deprecated * fix test
-
- 06 Apr, 2021 3 commits
-
-
Sylvain Gugger authored
* AutoFeatureExtractor * Init and first tests * Tests * Damn you gitignore * Quality * Defensive test for when not all backends are here * Use pattern for Speech2Text models
-
Suraj Patil authored
* better names * add attention mixin * all slow tests in one class * make helper methods static so we can test * add local attention tests * better names * doc * apply review suggestions
-
Philipp Schmid authored
-
- 05 Apr, 2021 5 commits
-
-
Sylvain Gugger authored
-
Sylvain Gugger authored
-
konstin authored
* Replace pkg_resources with importlib_metadata Fixes #10964. The other reason for this change is that pkg_resources has been [deprecated](https://github.com/pypa/setuptools/commit/8fe85c22cee7fde5e6af571b30f864bad156a010 ) in favor of importlib_metadata. * Reduce to a single importlib_metadata import switch * Trigger CI Co-authored-by:
Stas Bekman <stas@stason.org>
-
Lysandre Debut authored
* Documentation about loading a fast tokenizer within Transformers * Apply suggestions from code review Co-authored-by:
-
Lysandre Debut authored
-
- 01 Apr, 2021 2 commits
-
-
cronoik authored
* closes #10258 * typo * reworked deberta test * implemented the comments from BigBird01 regarding sequence pair encoding of deberta * Update style * VOCAB_FILES_NAMES is now a oneliner as suggested by @sgugger Co-authored-by:
-
NielsRogge authored
* Squash all commits into one * Update ViTFeatureExtractor to use image_utils instead of torchvision * Remove torchvision and add Pillow * Small docs improvement * Address most comments by @sgugger * Fix tests * Clean up conversion script * Pooler first draft * Fix quality * Improve conversion script * Make style and quality * Make fix-copies * Minor docs improvements * Should use fix-copies instead of manual handling * Revert "Should use fix-copies instead of manual handling" This reverts commit fd4e591bce4496d41406425c82606a8fdaf8a50b. * Place ViT in alphabetical order Co-authored-by:
-
- 31 Mar, 2021 4 commits
-
-
Sylvain Gugger authored
* Replace is_sagemaker_distributed_available * Merge SageMakerTrainer into Trainer * Test with shorter condition * Put back deleted line * Deprecate SageMakerTrainer and SageMakerTrainingArguments * Apply suggestions from code review Co-authored-by:
Philipp Schmid <32632186+philschmid@users.noreply.github.com> Co-authored-by:
-
Sylvain Gugger authored
* First third * Styling and fix mistake * Quality * All the rest * Treat %s and %d * typo * Missing ) * Apply suggestions from code review Co-authored-by:
-
Philipp Schmid authored
* wrong makefile command * ddp test fix
-
Patrick von Platen authored
* add first code structures * add all bert models * add to init and docs * correct docs * make style
-
- 30 Mar, 2021 3 commits
-
-
Suraj Patil authored
* fix checkpoint names * auto model * fix doc
-
Patrick von Platen authored
-
Suraj Patil authored
* lets begin * boom boom * fix out proj in attn * fix attention * fix local attention * add tokenizer * fix imports * autotokenizer * fix checkpoint name * cleanup * more clean-up * more cleanup * output attentions * fix attn mask creation * fix imports * config doc * add tests * add slow tests * quality * add conversion script * copyright * typo * another bites the dust * fix attention tests * doc * add embed init in convert function * fix copies * remove tokenizer * enable caching * address review comments * improve config and create attn layer list internally * more consistent naming * init hf config from mesh-tf config json file * remove neo tokenizer from doc * handle attention_mask in local attn layer * attn_layers => attention_layers * add tokenizer_class in config * fix docstring * raise if len of attention_layers is not same as num_layers * remove tokenizer_class from config * more consistent naming * fix doc * fix checkpoint names * fp16 compat * Apply suggestions from code review Co-authored-by:
-
