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 sebastien.campion@europarl.europa.eu

Downloads last month: 18

Safetensors

Model size

93.9M params

Tensor type

F32

Inference Providers NEW

Sentence Similarity

This model is not currently available via any of the supported Inference Providers.

The model cannot be deployed to the HF Inference API: The HF Inference API does not support sentence-similarity models for transformers library.