Cross-Encoder

This model was trained using SentenceTransformers Cross-Encoder class.

<p align="center"> <img src="https://upload.wikimedia.org/wikipedia/commons/f/f6/Edouard_Vuillard%2C_1920c_-_Sunlit_Interior.jpg" width="400"> </br> Edouard Vuillard, Sunlit Interior </p>

Training Data

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

Usage and Performance

from sentence_transformers import CrossEncoder
model = CrossEncoder('efederici/cross-encoder-umberto-stsb')
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').