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use model_dir inside of load_model
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@ -11,7 +11,7 @@ def load_model(model_dir):
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with (model_dir / 'vocab' / 'strings.json').open('r', encoding='utf8') as file_:
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nlp.vocab.strings.load(file_)
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nlp.vocab.load_lexemes(model_dir / 'vocab' / 'lexemes.bin')
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ner = EntityRecognizer.load(pathlib.Path("ner"), nlp.vocab, require=True)
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ner = EntityRecognizer.load(model_dir, nlp.vocab, require=True)
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return (nlp, ner)
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(nlp, ner) = load_model('ner')
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