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ModelHub XC 2b5793ee83 初始化项目,由ModelHub XC社区提供模型
Model: cross-encoder/quora-distilroberta-base
Source: Original Platform
2026-05-13 16:50:07 +08:00

1.3 KiB

license, datasets, language, base_model, pipeline_tag, library_name, tags
license datasets language base_model pipeline_tag library_name tags
apache-2.0
sentence-transformers/quora-duplicates
en
distilbert/distilroberta-base
text-ranking sentence-transformers
transformers

Cross-Encoder for Quora Duplicate Questions Detection

This model was trained using SentenceTransformers Cross-Encoder class.

Training Data

This model was trained on the Quora Duplicate Questions dataset. The model will predict a score between 0 and 1 how likely the two given questions are duplicates.

Note: The model is not suitable to estimate the similarity of questions, e.g. the two questions "How to learn Java" and "How to learn Python" will result in a rather low score, as these are not duplicates.

Usage and Performance

Pre-trained models can be used like this:

from sentence_transformers import CrossEncoder

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

You can use this model also without sentence_transformers and by just using Transformers AutoModel class