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