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Limit parser model size, to hopefully reduce memory during CI tests
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@ -17,7 +17,7 @@ def test_beam_parse():
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nlp = Language()
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nlp.add_pipe(DependencyParser(nlp.vocab), name='parser')
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nlp.parser.add_label('nsubj')
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nlp.begin_training()
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nlp.parser.begin_training([], token_vector_width=8, hidden_width=8)
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doc = nlp.make_doc(u'Australia is a country')
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nlp.parser(doc, beam_width=2)
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