      debug=False,
      verbose=False,
  ):
      """
      Train or update a spaCy model. Requires data to be formatted in spaCy's
      JSON format. To convert data from other formats, use the `spacy convert`
 
</s> remove                     drop=0.5,  # dropout - make it harder to memorise data
 </s> add                     drop=0.0,  # dropout - make it harder to memorise data </s> remove     nlp, optimizer, train_data, evaluate, dropout, patience, eval_frequency
 </s> add     nlp, optimizer, train_data, evaluate, dropout, patience, eval_frequency,
    accumulate_gradient </s> remove     if "ner" not in nlp.pipe_names:
        ner = nlp.create_pipe("ner")
 </s> add     if "simple_ner" not in nlp.pipe_names:
        ner = nlp.create_pipe("simple_ner")
    use_gpu=-1
      debug=False,
      verbose=False,
    use_gpu=-1
  ):
      """
      Train or update a spaCy model. Requires data to be formatted in spaCy's
      JSON format. To convert data from other formats, use the `spacy convert`
keep add keep keep keep keep
 Adapt parser and NER for transformers (#5449)

* Draft layer for BILUO actions

* Fixes to biluo layer

* WIP on BILUO layer

* Add tests for BILUO layer

* Format

* Fix transitions

* Update test

* Link in the simple_ner

* Update BILUO tagger

* Update __init__

* Import simple_ner

* Update test

* Import

* Add files

* Add config

* Fix label passing for BILUO and tagger

* Fix label handling for simple_ner component

* Update simple NER test

* Update config

* Hack train script

* Update BILUO layer

* Fix SimpleNER component

* Update train_from_config

* Add biluo_to_iob helper

* Add IOB layer

* Add IOBTagger model

* Update biluo layer

* Update SimpleNER tagger

* Update BILUO

* Read random seed in train-from-config

* Update use of normal_init

* Fix normalization of gradient in SimpleNER

* Update IOBTagger

* Remove print

* Tweak masking in BILUO

* Add dropout in SimpleNER

* Update thinc

* Tidy up simple_ner

* Fix biluo model

* Unhack train-from-config

* Update setup.cfg and requirements

* Add tb_framework.py for parser model

* Try to avoid memory leak in BILUO

* Move ParserModel into spacy.ml, avoid need for subclass.

* Use updated parser model

* Remove incorrect call to model.initializre in PrecomputableAffine

* Update parser model

* Avoid divide by zero in tagger

* Add extra dropout layer in tagger

* Refine minibatch_by_words function to avoid oom

* Fix parser model after refactor

* Try to avoid div-by-zero in SimpleNER

* Fix infinite loop in minibatch_by_words

* Use SequenceCategoricalCrossentropy in Tagger

* Fix parser model when hidden layer

* Remove extra dropout from tagger

* Add extra nan check in tagger

* Fix thinc version

* Update tests and imports

* Fix test

* Update test

* Update tests

* Fix tests

* Fix test

Co-authored-by: Ines Montani <ines@ines.io> 
spacy/cli/train_from_config.py