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