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As discussed at https://github.com/huggingface/transformers/issues/6317 codecov currently sends an invalid report when it fails to find a code coverage report for the base it checks against, so this gets fixed by:

-  require_base: yes        # don't report if there is no base coverage report

let's add this for clarity, this supposedly is already the default.

-  require_head: yes        # don't report if there is no head coverage report 

and perhaps no point reporting on doc changes as they don't make any difference and it just generates noise:

-  require_changes: true    # only comment if there was change in coverage

* Update README.md

* Update model_cards/german-nlp-group/electra-base-german-uncased/README.md
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* fixed label datatype for sts-b

* naming update

* make style

* make style

* Added first model card

* Add metadata
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* [model_cards] roberta-urdu-small added.

* [model_cards] typo fixed.

* Tweak license format (yaml expects a simple string)

Co-authored-by: Ikram Ali <mrikram1989>
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* tests

* add mbart example

* add Pegasus and MBart in readme

* typo

* add MBart in Pretrained models

* add pre-proc doc

* add DPR in readme

* fix indent

* doc fix

* [doc] multiple corrections to "Summary of the tasks"

* fix indentation

* correction

* fix links, add links to examples/seq2seq/README.md instead of non-existing script

Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* [doc] make the text more readable, fix some typos, add some disambiguation

* Update docs/source/glossary.rst
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* add custom datasets tutorial

* python -> bash code blocks

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* minor review feedback changes

* add working native QA snippet
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [testing] switch to a new TestCasePlus + get_auto_remove_tmp_dir() for auto-removal of tmp dirs

* respect after=True for tempfile, simplify code

* comments

* comment fix

* put `before` last in args, so can make debug even faster

`assertEquals` is deprecated: https://stackoverflow.com/questions/930995/assertequals-vs-assertequal-in-python/931011
This PR replaces these deprecated methods.

* [doc] Summary of the models fixes

* correction

* added model cards for indonesian gpt2-small, bert-base and roberta-base models

* removed bibtex entries

* Update BERT Japanese tokenizers

* Update CircleCI config to download unidic

* Specify to use the latest dictionary packages

- remove invalid `ENV_` prefix.
- add a few ':' while at it

* Add Model Card for electra-base-german-uncased

* Update README.md
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

Co-authored-by: Fabio Souza <fabiosouza@neuralmind.ai>

Currently with the bug introduced we're taking two optimizer steps per
batch: one global one, where `xm.optimizer_step` injects a CRS between
all cores in training, and one without. This has been affecting training
accuracy (for example, XLNet GLUE on MNLI is not converging, etc.).

* Generation doc

* MBartForConditionalGeneration (#6441)

* add MBartForConditionalGeneration

* style

* rebase and fixes

* add mbart test in TEST_FILES_WITH_NO_COMMON_TESTS

* fix docs

* don't ignore mbart

* doc

* fix mbart fairseq link

* put mbart before bart

* apply doc suggestions

* Use hash to clean the test dirs (#6475)

* Use hash to clean the test dirs

* Use hash to clean the test dirs

* Use hash to clean the test dirs

* fix

* [EncoderDecoder] Add Cross Attention for GPT2 (#6415)

* add cross attention layers for gpt2

* make gpt2 cross attention work

* finish bert2gpt2

* add explicit comments

* remove attention mask since not yet supported

* revert attn mask in pipeline

* Update src/transformers/modeling_gpt2.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/modeling_encoder_decoder.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Sort unique_no_split_tokens to make it deterministic (#6461)

* change unique_no_split_tokens's type to set

* use sorted list instead of set

* style

* Import accuracy_score (#6480)

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address comments

* Styling

* Generation doc

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Address comments

* Styling
Co-authored-by: Suraj Patil <surajp815@gmail.com>
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Quentin Lhoest <42851186+lhoestq@users.noreply.github.com>
Co-authored-by: gijswijnholds <gijswijnholds@gmail.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* change unique_no_split_tokens's type to set

* use sorted list instead of set

* style