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---
library_name: transformers
language:
- en
- fr
- de
tags:
- v1.0.0
---
#### How to use
You can use this model with Transformers *pipeline* for NER.
<!-- Provide a longer summary of what this model is. -->
```python
from transformers import pipeline
MODEL_NAME = "emanuelaboros/lang-detect"
lang_pipeline = pipeline("lang-detect", model=MODEL_NAME,
trust_remote_code=True,
device='cpu')
sentence = """En l'an 1348, au plus fort des ravages de la peste noire à travers l'Europe,
le Royaume de France se trouvait à la fois au bord du désespoir et face à une opportunité."""
langs = lang_pipeline(sentence)
langs
```
```
{'label': 'fr', 'confidence': 99.87}
```
Works with lists of sentences also.
### BibTeX entry and citation info
```
```