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eubert_cross-encoder_v1
scampion/eubert_cross-encoder_v1
eubert_cross-encoder_v1 is a sentence similarity model from scampion. Use it when you need a score for how close two texts are. It is set up for transformers. The card lists the license as eupl-1.1.
EUBERT MLM finetuned as cross-encoder for the 24 languages of 🇪🇺 via the sentence-transformers training set: https://sbert.net/datasets/AllNLI.tsv.gz
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At a glance
- Task
- Sentence Similarity
- Library
- transformers
- License
- eupl-1.1
- Model type
- roberta
- Access
- Public
- Created
- Dec 7, 2023
- Updated
- Dec 7, 2023
- SHA
- 7edd2d90
Model card
From the Hugging Face model README
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
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 [email protected]
- Task
- Sentence Similarity
- Library
- transformers
- Type
- roberta
- License
- eupl-1.1
- Created
- Dec 7, 2023
- Updated
- Dec 7, 2023