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* add dpr to models summary

* minor

* minor

* Update docs/source/model_summary.rst

qa -> question answering
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update docs/source/model_summary.rst

qa -> question ansering (cont'd)
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add model card for singbert.

Adding a model card for singbert- bert for singlish and manglish.

* Update README.md

Add additional tags and model name.

* Update README.md

Fix tag for malay.

* Update model_cards/zanelim/singbert/README.md

Fix language
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

* Add examples and custom widget input.

Add examples and custom widget input.
Co-authored-by: Kevin Canwen Xu <canwenxu@126.com>

As suggested here: https://github.com/huggingface/transformers/issues/6651#issuecomment-678594233
this removes generic `generate` doc with examples not-relevant to bart.

* Create PULL_REQUEST_TEMPLATE.md

Proposing to copy this neat feature from pytorch. This is a small template that let's a PR submitter tell which issue that PR closes.

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

* Add optuna hyperparameter search to Trainer

* @julien-c suggestions
Co-authored-by: Julien Chaumond <chaumond@gmail.com>

* Make compute_objective an arg function

* Formatting

* Rework to make it easier to add ray

* Formatting

* Initial support for Ray

* Formatting

* Polish and finalize

* Add trial id to checkpoint with Ray

* Smaller default

* Use GPU in ray if available

* Formatting

* Fix test

* Update install instruction
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>

* Address review comments

* Formatting post-merge
Co-authored-by: Julien Chaumond <chaumond@gmail.com>
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>

* Run new isort

* More changes

* Update CI, CONTRIBUTING and benchmarks

* Fixed DataCollatorForLanguageModeling + PermutationLanguageModeling not accepting lists of lists

* Update data_collator.py

* black was grumpy

* Don't reset the type of the dataset

* Formatting

* Update trainer.py
Co-authored-by: Teven <teven.lescao@gmail.com>

* Create README.md

* Update README.md

* Create README.md

* Update README.md

* added multiple codeswitch model

* Create README.md

* Update README.md

* Create README.md

* Update README.md

Model was trained with the wrong tokenizer. Retrained with correct tokenizer - thanks for spotting @lhoestq !

I works like a charm!
Look at the output of the example code!

@julien-c

* add pegasus to docs

* Update docs/source/model_summary.rst

* added CamembertForCausalLM

* add in __init__ and auto model

* style

* doc

Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Add a classmethod to easily build a Trainer from nlp dataset and metric

* Fix docstrings

* Split train/eval

* Formatting

* Log dropped columns + docs

* Authorize callable activations

* Poc for auto activation

* Be framework-agnostic

* Formatting

* Remove class method

* Remove unnecessary code

* Move threshold up for flaky test with Electra

* Update above as well

* xlnet fp16 bug fix

* comment cast added

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

* fix distilbert

* fix typo

* TFTrainer dataset doc & fix evaluation bug

discussed in #6551

* add docstring to test/eval datasets

* Add tests to Trainer

* Test if removing long breaks everything

* Remove ugly hack

* Fix distributed test

* Use float for number of epochs