Cross-Encoder for Quora Duplicate Questions Detection
This model was trained using SentenceTransformers Cross-Encoder class.
This model was trained on the STS benchmark dataset. The model will predict a score between 0 and 1 how for the semantic similarity of two sentences.
Usage and Performance
Pre-trained models can be used like this:
from sentence_transformers import CrossEncoder model = CrossEncoder('model_name') 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').
You can use this model also without sentence_transformers and by just using Transformers
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This model can be loaded on the Inference API on-demand.