Quora Roberta Base

🚀 Cross-Encoder for Quora Duplicate Questions Detection

This model is designed to detect duplicate questions on Quora, trained using the Cross-Encoder class of SentenceTransformers, offering accurate prediction of question duplication likelihood.

🚀 Quick Start

This model was trained using SentenceTransformers Cross-Encoder class.

✨ Features

• The model predicts a score between 0 and 1 to indicate how likely two given questions are duplicates.
• It is trained on the Quora Duplicate Questions dataset.

📦 Installation

No specific installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

Basic Usage

from sentence_transformers import CrossEncoder

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

Advanced Usage

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

📚 Documentation

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.

⚠️ Important 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.

📄 License

The model is licensed under the Apache-2.0 license.