  from thinc.api import zero_init, with_array, Softmax, chain, Model
  from thinc.types import Floats2d
  
  from ...util import registry
  from ..tokens import Doc
  
  
  @registry.architectures.register("spacy.Tagger.v1")
  def build_tagger_model(
      tok2vec: Model[List[Doc], List[Floats2d]], nO: Optional[int] = None
 
</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 dropout = null
 </s> add  </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 
from ...tokens import Doc
  from thinc.api import zero_init, with_array, Softmax, chain, Model
  from thinc.types import Floats2d
  
  from ...util import registry
from ...tokens import Doc
  
  
  @registry.architectures.register("spacy.Tagger.v1")
  def build_tagger_model(
      tok2vec: Model[List[Doc], List[Floats2d]], nO: Optional[int] = None
keep keep keep keep replace keep keep keep keep keep
 Fix imports, types and default configs 
spacy/ml/models/tagger.py