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--- |
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language: |
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- fr |
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pipeline_tag: token-classification |
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library_name: flair |
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--- |
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## Rapido's project Model |
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### |
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This model was trained with and meant to be used with datas from Rapido project. |
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The package flair was used for the training. The following versions of Flair and Transformers are required : |
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- transformers == 4.41.2 |
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- flair == 0.10 |
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### How to use |
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```python |
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from flair.models import SequenceTagger |
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from flair.data import Sentence |
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tagger = SequenceTagger.load('rapido-model.pt') |
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your_sentence = "Put your sentence here" |
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sentence = Sentence(your_sentence) |
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self.tagger.predict(sentences) |
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for sentence in sentences: |
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for entity in sentence.get_spans('ner'): |
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if entity.tag == "LOC": |
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entity_txt = entity.text #get the entity |
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entity_score = '%.3f' % entity.score #get the score |
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print(entity_txt,score) |
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``` |
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### Validation score |
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precision recall f1-score support |
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LOC 0.8790 0.8563 0.8675 891 |
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### For more information |
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- https://github.com/Inist-CNRS/web-services/blob/main/services/data-rapido/README.md |
