* 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
