---
language:
- fr
pipeline_tag: token-classification
library_name: flair
---

## Rapido's project Model

###
This model was trained with and meant to be used with datas from Rapido project.
The package flair was used for the training. The following versions of Flair and Transformers are required :
- transformers == 4.41.2
- flair == 0.10
### How to use

```python
from flair.models import SequenceTagger
from flair.data import Sentence

tagger = SequenceTagger.load('rapido-model.pt')
your_sentence = "Put your sentence here"
sentence = Sentence(your_sentence)
self.tagger.predict(sentences)
for sentence in sentences:
    for entity in sentence.get_spans('ner'):
        if entity.tag == "LOC":
            entity_txt = entity.text #get the entity
            entity_score = '%.3f' % entity.score #get the score
            print(entity_txt,score)

```

### Validation score

              precision    recall  f1-score   support

         LOC     0.8790    0.8563    0.8675       891 

### For more information

- https://github.com/Inist-CNRS/web-services/blob/main/services/data-rapido/README.md