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Update tagger docstring
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@ -42,7 +42,14 @@ DEFAULT_TAGGER_MODEL = Config().from_str(default_model_config)["model"]
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scores=["tag_acc"],
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default_score_weights={"tag_acc": 1.0},
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)
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def make_tagger(nlp: Language, name: str, model: Model):
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def make_tagger(nlp: Language, name: str, model: Model[List[Doc], List[Floats2d]]):
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"""Construct a part-of-speech tagger component.
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model (Model[List[Doc], List[Floats2d]]): A model instance that predicts
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the tag probabilities. The output vectors should match the number of tags
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in size, and be normalized as probabilities (all scores between 0 and 1,
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with the rows summing to 1).
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"""
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return Tagger(nlp.vocab, model, name)
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