
# EUBERT Cross-Encoder

EUBERT MLM finetuned as cross-encoder for the 24 languages of 🇪🇺 via the sentence-transformers training set: https://sbert.net/datasets/AllNLI.tsv.gz

```python
from sentence_transformers import CrossEncoder
model = CrossEncoder('EuropeanParliament/eubert_cross-encoder_v1', max_length=512)
scores = model.predict([('Query', 'Paragraph1'), ('Query', 'Paragraph2') , ('Query', 'Paragraph3')])
```

# Author:

- Sébastien Campion sebastien.campion@europarl.europa.eu
  


{"license": "eupl-1.1", "pipeline_tag": "sentence-similarity"}
transformers safetensors roberta feature-extraction sentence-similarity license:eupl-1.1 endpoints_compatible region:us