GitLab

* Script for README

* Fix copies

* Complete error message

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* 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
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* 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
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* Update docs/source/en/index.mdx
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* Update docs/source/en/model_doc/levit.mdx
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* Update docs/source/en/model_doc/levit.mdx
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* Update docs/source/en/model_doc/levit.mdx
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* Update docs/source/en/model_doc/levit.mdx
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* Update src/transformers/__init__.py
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* Update src/transformers/models/levit/__init__.py
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* Update src/transformers/models/levit/configuration_levit.py
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* Update src/transformers/models/levit/configuration_levit.py
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* Update src/transformers/models/levit/feature_extraction_levit.py
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* suggested pr changes

* style fixes

* minor bug

* update

* minor doc edit

* style

* Update src/transformers/models/levit/feature_extraction_levit.py
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* Update src/transformers/models/levit/feature_extraction_levit.py
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* Update tests/models/levit/test_modeling_levit.py
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* Update src/transformers/models/levit/modeling_levit.py
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* Update src/transformers/models/levit/feature_extraction_levit.py
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* residual layer readable

* style

* Update docs/source/en/model_doc/levit.mdx
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* Update src/transformers/models/levit/feature_extraction_levit.py
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* Update src/transformers/models/levit/feature_extraction_levit.py
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* Update src/transformers/models/levit/feature_extraction_levit.py
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* Update src/transformers/models/levit/feature_extraction_levit.py
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* Update src/transformers/models/levit/modeling_levit.py
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* Update src/transformers/models/levit/modeling_levit.py
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* Update src/transformers/models/levit/modeling_levit.py
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* Update tests/models/levit/test_feature_extraction_levit.py
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* change checkpoints and style

* update

* minor changes

* Update src/transformers/models/levit/modeling_levit.py
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* Update src/transformers/models/levit/modeling_levit.py
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* fix
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* fix
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* 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

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`.

* Adapt Maskformer, VAN, ResNet and RegNet modules to inherit from nn.Module

* Fix wav2vec2 export onnx model with attention_mask error

* fix repository_consistency

* 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>

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.

* 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
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* Update src/transformers/models/squeezebert/configuration_squeezebert.py
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* 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
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* update test based on review

* merged main layer for functionning test

* fixup + quality

* Apply suggestions from code review
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* update long comment

* make fix copies
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[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

* Accumulate tokens into batches in PreTrainedTokenizerBase.add_tokens()

For tokenizers with a small number of special tokens or special tokens
with consecutive token IDs, this reduces the time complexity of creating
the trie from quadratic to linear, see also #16936.

* Extend explanation of batching added tokens

* Add HF.co for PRs / Issues regarding specific model checkpoints

* Update .github/ISSUE_TEMPLATE/config.yml
Co-authored-by: Julien Chaumond <julien@huggingface.co>
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Setup for Italian translation and add first document

- Add 'it' folder for files translated into Italian
- Add _config.py and _toctree.yml files
- Add translation of quicktour.mdx

* Fix style issue of italian documentation files

* Add 'it' to the languages section in the .github/workflows

* Remove - installation from _toctree for Italian

* Translation for index file

- Add index to _toctree.yml
- Add translation of index.mdx

* Fix typo in docs/source/it/index.mdx

* Translate code comments in docs/source/it/_config.py
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* docker image build in parallel
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* Add onnx configuration for xlm

* Add supported features for xlm

* Add xlm to models exportable with onnx

* Add xlm architecture to test file

* Modify docs

* Make code quality fixes

* Fix offload to disk for big models

* Add test

* Fix test for other models

* TF GPT-2 now properly works with left padding

* throw a warning when eos token == pad token and there is no attention mask

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Support for Bart and LayoutLM, and partial support for XLNet

* Support for mbart

* A lot of new models supported

* Support for other models

* LayoutLM fix

* Use strings instead of classes

fix #17397