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Fix tagger when docs are empty
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@ -449,7 +449,8 @@ class Tagger(Pipe):
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def predict(self, docs):
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if not any(len(doc) for doc in docs):
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# Handle case where there are no tokens in any docs.
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return [self.model.ops.allocate((0, self.model.nO)) for doc in docs]
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n_labels = len(self.labels)
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return [self.model.ops.allocate((0, n_labels)) for doc in docs]
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tokvecs = self.model.tok2vec(docs)
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scores = self.model.softmax(tokvecs)
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guesses = []
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