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- 03 Jun, 2022 9 commits
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Stas Bekman authored
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Britney Muller authored
This PR updates our Expert Acceleration Program image with a new image featuring our experts. This is similar to our Transformers/README.md image update that has proven to be successful.
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Sylvain Gugger authored
* Clean imports to fix test_fetcher * Add dependencies printer * Update utils/tests_fetcher.py Co-authored-by:
lewtun <lewis.c.tunstall@gmail.com> * Fix Perceiver import Co-authored-by:
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bhuang authored
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Sylvain Gugger authored
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amyeroberts authored
* Fix activation and layers in MLP head * Remove unused import
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Patrick Deutschmann authored
* Start adding perceiver support for ONNX * Fix pad token bug for fast tokenizers * Fix formatting * Make get_preprocesor more opinionated (processor priority, otherwise tokenizer/feature extractor) * Clean docs format * Minor cleanup following @sgugger's comments * Fix typo in docs * Fix another docs typo * Fix one more typo in docs * Update src/transformers/onnx/utils.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/onnx/utils.py Co-authored-by:
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Robert Dargavel Smith authored
* Allow from transformers import TypicalLogitsWarper * Added TypicalLogitsWarper * Allow from transformers import TypicalLogitsWarper * Allow from transformers import TypicalLogitsWarper * Allow from transformers import TypicalLogitsWarper * Allow from transformers import TypicalLogitsWarper Added TypicalLogitsWarper Allow from transformers import TypicalLogitsWarper Allow from transformers import TypicalLogitsWarper Allow from transformers import TypicalLogitsWarper
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DanielHesslow authored
* Add gated-silu to t5 architecture to support UL2 * Fix error message * formatting * formatting again * refactor * fix classnames in _init_weights * remove is_gated * add test * fix test * Try without the test? * Add back the test. * Improve error message. Co-authored-by:Daniel Hesslow <daniel@lighton.ai>
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- 02 Jun, 2022 11 commits
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lewtun authored
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Arthur authored
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Stas Bekman authored
* [trainer/deepspeed] load_best_model * to sync with DS PR #1947 * simplify * rework load_best_model test * cleanup * bump deepspeed>=0.6.5 Co-authored-by:Olatunji Ruwase <olruwase@microsoft.com>
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Moreno La Quatra authored
* Implemented loss for training AudioFrameClassification * reported changes in wav2vec2 main class and used make copies to propagate * running black for code formatting
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Kamal Raj authored
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Sylvain Gugger authored
* Script for README * Fix copies * Complete error message
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Sylvain Gugger authored
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Sylvain Gugger authored
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Yih-Dar authored
* print more lib. versions and just befor test runs * update print_env_pt.py * rename to print_env * Disable warning + better job name * print python version Co-authored-by: -
Yih-Dar authored
Co-authored-by:
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- 01 Jun, 2022 17 commits
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Yih-Dar authored
Co-authored-by: -
Joao Gante authored
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Zachary Mueller authored
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fireindark707 authored
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Anugunj Naman authored
* levit files * levit tests * weights script * weights script * update * style fixes * few minor corrections * Added teacher model * edit docs * fix-copies * style fixes * pr error resolved * Update README.md Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/index.mdx Co-authored-by:
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Yih-Dar authored
* fix Co-authored-by: -
Yih-Dar authored
* fix Co-authored-by: -
Ryokan RI authored
* add a test for a word only input * make LukeForMaskedLM work without entity inputs * update test * add LukeForMaskedLM to MODEL_FOR_MASKED_LM_MAPPING_NAMES * restore pyproject.toml * empty line at the end of pyproject.toml
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Sylvain Gugger authored
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Sylvain Gugger authored
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Will Frey authored
I think you mean to accept either an instance of `PreTrainedTokenizer` or `PreTrainedTokenizerFast` inside of the `pipeline(...)` factory function, if the `tokenizer` argument isn't a `str`.
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amyeroberts authored
* Adapt Maskformer, VAN, ResNet and RegNet modules to inherit from nn.Module
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nilboy authored
* Fix wav2vec2 export onnx model with attention_mask error * fix repository_consistency
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Xing Han Lu authored
* Update feature_extraction_vilt.py * apply black * Update imports * Change warning to logging * Use logger instead of logging.logging * make fixup * Move error message * Update src/transformers/models/vilt/feature_extraction_vilt.py Co-authored-by:
Xing Han Lu <xhlperso@gmail.com> Co-authored-by:
Lysandre Debut <lysandre@huggingface.co>
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Kyeongpil Kang authored
self.pos_proj and self.pos_q_proj should be changed to self.pos_key_proj and self.pos_query_proj as same as PyTorch implements.
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Jimin Park authored
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Ruihua Fang authored
* add onnx config for SqueezeBert * add test for onnx config for SqueezeBert * add automatically updated doc for onnx config for SqueezeBert * Update src/transformers/onnx/features.py Co-authored-by:
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- 31 May, 2022 3 commits
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Patrick von Platen authored
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Arthur authored
* initial commit * add init file * update globakl init * update index and dummy objects * style * update modelling auto * fix initi typo in src/transformers * fix typo in modeling tf auto, opt was in wrong mapping name * fixed a slow test : saved_model * style * fix positionnal embedding if no position id is provided * update tf test * update test flax requirements * fixed serialization * update * update tf name to allow smooth convertion * update flax tests * style * fix test typo * fix tf typo test * add xla for generate support in causal LM * fixed bug * cleaned tf tests * style * removed from PT for slow tests * fix typp * opt test as slow * trying to fix GPT2 undefined * correct documentation and add to test doc * update tf doc * fix doc * fake commit * Apply suggestions from code review Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * update test based on review * merged main layer for functionning test * fixup + quality * Apply suggestions from code review Co-authored-by:
Arthur <arthur@huggingface.co> Co-authored-by:
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Patrick von Platen authored
[Json configs] Make json prettier for all saved tokenizer files & ensure same json format for all processors (tok + feat_extract) (#17457) * [Json dump] Make json prettier * correct more tokenizeirs * more patterns * add aggressive test * the aggressive test was actually useful :-) * more tests * Apply suggestions from code review
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