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--- |
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tags: |
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- flair |
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- token-classification |
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- sequence-tagger-model |
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language: en |
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--- |
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## Flair NER model (`en-ner-conll03-v0.4.pt`) |
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Imported from https://nlp.informatik.hu-berlin.de/resources/models/ner/ |
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### Demo: How to use in Flair |
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```python |
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from flair.data import Sentence |
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from flair.models import SequenceTagger |
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sentence = Sentence( |
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"My name is Julien, I currently live in Paris, I work at Hugging Face, Inc." |
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) |
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tagger = SequenceTagger.load("julien-c/flair-ner") |
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# predict NER tags |
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tagger.predict(sentence) |
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# print sentence with predicted tags |
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print(sentence.to_tagged_string()) |
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``` |
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yields the following output: |
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``` |
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My name is Julien <S-PER> , I currently live in Paris <S-LOC> , |
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I work at Hugging <B-LOC> Face <E-LOC> . |
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``` |
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### Thanks [@stefan-it](https://huggingface.co/stefan-it) for the Flair integration ❤️ 🔥 |
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