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README.md
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@@ -31,7 +31,6 @@ It achieves the following results on the evaluation set:
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```python
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from transformers import pipeline
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from classifier import ScikitPhraseClassifier
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segmenter = pipeline("ner", model="./models/test_crf_v2", aggregation_strategy="simple", device=0)
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entities = segmenter(text)
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```
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```python
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from transformers import pipeline
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segmenter = pipeline("ner", model="./models/test_crf_v2", aggregation_strategy="simple", device=0)
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entities = segmenter(text)
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```
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