      """Construct a simple NER tagger, that predicts IOB tag scores for each
      token and uses greedy decoding with transition-constraints to return a valid
      IOB tag sequence.
  
      A IOB tag sequence encodes a sequence of non-overlapping labelled spans
      into tags assigned to each token. The first token of a span is given the
      tag B-LABEL, and subsequent tokens are given the tag I-LABEL.
      All other tokens are assigned the tag O.
      """
      biluo = IOB()
 
</s> remove @registry.architectures.register("spacy.BiluoTagger.v1")
 </s> add @registry.architectures.register("spacy.BILUOTagger.v1") </s> remove         ued as action scores directly.
 </s> add         used as action scores directly. </s> remove     embed (Model[List[Doc], List[Floats2d]]): Embed tokens into context-indepdent
 </s> add     embed (Model[List[Doc], List[Floats2d]]): Embed tokens into context-independent </s> remove dropout = null
 </s> add  </s> remove dropout = null
 </s> add 
    An IOB tag sequence encodes a sequence of non-overlapping labelled spans
      """Construct a simple NER tagger, that predicts IOB tag scores for each
      token and uses greedy decoding with transition-constraints to return a valid
      IOB tag sequence.
  
    An IOB tag sequence encodes a sequence of non-overlapping labelled spans
      into tags assigned to each token. The first token of a span is given the
      tag B-LABEL, and subsequent tokens are given the tag I-LABEL.
      All other tokens are assigned the tag O.
      """
      biluo = IOB()
keep keep keep keep replace keep keep keep keep keep
 Fix imports, types and default configs 
spacy/ml/models/simple_ner.py