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* The 'warn' method is deprecated

* fix test

* Initial draft for clm no trainer

* Remove unwanted args

* Fix bug

* Update examples/language-modeling/run_clm_no_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add initial script for finetuning MLM models with accelerate

* Add evaluation metric calculation

* Fix bugs

* Use no_grad on evaluation

* update script docstring

* Update examples/language-modeling/run_mlm_no_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* PR feedback

* Fix CI failure

* Update examples/language-modeling/run_mlm_no_trainer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Initial commit

* Another bunch of updates

* make style quliaty + delete debug arg from bash script

* Use compue_metrics func

* Do a few fixes

* Add copyright

* Fix typos

* Add NER example with accelerate library

* This commit contains the first (yet really unfinished)
version of a script for showing how to train HuggingFace model
with their new accelerate library.

* Fix metric calculation

* make style quality

* mv ner_no_trainer to token-classification dir

* Delete --debug flag from running script

* hf_datasets -> raw_datasets

* Make a few slight adjustments

* Add an informative comment + rewrite a help comment

* Change header

* Fix a few things

* Enforce to use fast tokenizers only

* DataCollatorWithPadding -> DataCollatorForTokenClassification

* Change bash script: python3 -> accelerate launch

* make style

* Add a few missing things (see below)

* Add a max-lenghth padding to predictions and labels to
enable accelerate gather functionality

* Add PyTorch no trainer example to the example README.md

* Remove --do-train from args as being redundant for now

* DataCollatorWithPadding -> DataCollatorForTokenClassification

* Remove some obsolete args.do_train conditions from the script

* Delete --do_train from bash running script

* Delete use_slow_tokenizer from args

* Add unintentionally removed flag --label_all_tokens

* Delete --debug flag from running script

Use the correct variable (raw_datasets) instead of the module (datasets)
where appropriate.

* Add new GLUE example with no Trainer.

* Style

* Address review comments