GitLab

* Update documentation_tests.txt

* Update configuration_mbart.py

* Update configuration_mctct.py

* Update configuration_layoutlm.py

* Update configuration_layoutlmv2.py

* Update configuration_layoutlmv3.py

* Update documentation_tests.txt

* Factored out some code in the image-segmentation pipeline

Re-enable `small_model_pt`.

Re-enable `small_model_pt`.

Enabling the current test with the current values.

Debugging the values on the CI.

More logs ? Printing doesn't work ?

Using the CI values instead. Seems to be a Pillow sensitivity.

Added a test showcasing that models not supporting some tasks get a
clear error.

Factored out code.

Further factor out.

Fixup.

Bad rebase.

Put `panoptic` before `instance` as it should be a superset.

* Fixing tests.

* Adding subtasks tests

+ Fixes `instance` segmentation which was broken due to default and
non kwargs arguments.

* Fix bad replace.

* Update doc for revision and token

* Update src/transformers/configuration_utils.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Push changes on other from_pretrained methods
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Fix model-tokenizer mapping
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Support for Vilt in v1.9

* Skip if not higher or equal than 1.10

* Move test :)

* I am bad at python

* [ custom_models.mdx ] - Translated to Portuguese the custom models tutorial.

* [ run_scripts.mdx ] - Translated to Portuguese the run scripts tutorial.

* [ converting_tensorflow_models.mdx ] - Translated to Portuguese the converting tensorflow models tutorial.

* [ converting_tensorflow_models.mdx ] - Translated to Portuguese the converting tensorflow models tutorial.

* [ serialization.mdx ] - Translated to Portuguese the serialization tutorial.

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

* Translated multiple_choice.mdx, question_answering.mdx. Added them to _toctree.yml

* Added translation for a missed line.

* Update _toctree.yml as per Omar's suggestions

* Update multiple_choice.mdx as per Omar's comments

* Updt question_answering.mdx as per Omar's comments

* Refactor conversion function

* Remove dupe line

* Fixes

* Fixes

* Use the right variable...

* Fix last test

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

* print first diff line intead of first code part line

* fix style

* Update expected values

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

* Fix nightly CircleCI

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

* [ custom_models.mdx ] - Translated to Portuguese the custom models tutorial.

* [ run_scripts.mdx ] - Translated to Portuguese the run scripts tutorial.

* [ converting_tensorflow_models.mdx ] - Translated to Portuguese the converting tensorflow models tutorial.

* [ converting_tensorflow_models.mdx ] - Translated to Portuguese the converting tensorflow models tutorial.

* fix image2test args forwarding

* fix issues

* Proposing the update to the PR.

* Fixup.
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

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

* [Doctest] Add `configuration_nezha.py`

* Revert line order

Additionally, I updated the doctest format to be consistent with BERT.

* [ custom_models.mdx ] - Translated to Portuguese the custom models tutorial.

* [ run_scripts.mdx ] - Translated to Portuguese the run scripts tutorial.

* Run some TF Whisper tests in subprocesses to avoid GPU OOM
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* contrastive search test updates

* make fixup

* Use None to detect if truncation was unset

* Fix repo consistency

* Fix panoptic segmentation and pipeline
* Update ImageSegmentationPipeline tests and reenable test_small_model_pt
* Resolve backward compatibility issues

* Run inputs before trace

* Run inputs before trace
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* support sentencepiece for bertjapanesetokenizer

* add test vocab file for sentencepiece, bertjapanesetokenizer

* make BasicTokenizer be identical to transformers.models.bert.tokenization_bert.BasicTokenizer

* fix missing of \n in comment

* fix init argument missing in tests

* make spm_file be optional, exclude spiece.model from tests/fixtures, and add description comments

* make comment length less than 119

* apply doc style check