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Fix example
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@ -44,7 +44,7 @@ def main(model=None, output_dir=None, n_iter=100):
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print("Created blank 'en' model")
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# create the built-in pipeline components and add them to the pipeline
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# ner.create_pipe works for built-ins that are registered with spaCy!
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# nlp.create_pipe works for built-ins that are registered with spaCy
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if 'ner' not in nlp.pipe_names:
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ner = nlp.create_pipe('ner')
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nlp.add_pipe(ner, last=True)
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@ -86,8 +86,9 @@ def main(model=None, output_dir=None, n_iter=100):
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# test the saved model
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print("Loading from", output_dir)
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nlp2 = spacy.load(output_dir)
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for text, _ in TRAIN_DATA:
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doc = nlp(text)
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doc = nlp2(text)
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print('Entities', [(ent.text, ent.label_) for ent in doc.ents])
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print('Tokens', [(t.text, t.ent_type_, t.ent_iob) for t in doc])
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