Cross-Encoder

This model was trained using SentenceTransformers Cross-Encoder class.

Training Data

This model was trained on stsb. The model will predict a score between 0 and 1 for how semantically similarity two sentences are.

Usage and Performance

from sentence_transformers import CrossEncoder

model = CrossEncoder('tomaarsen/distilroberta-base-stsb-cross-encoder')
scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])

The model will predict scores for the pairs ('Sentence 1', 'Sentence 2') and ('Sentence 3', 'Sentence 4').

Model Card Author

I adapted this model card from https://huggingface.co/efederici/cross-encoder-bert-base-stsb by @efederici.