Quora Roberta Large

🚀 Cross-Encoder for Quora Duplicate Questions Detection

This model is designed to detect duplicate questions on Quora, predicting the probability of two questions being duplicates.

🚀 Quick Start

This model was trained using SentenceTransformers Cross-Encoder class.

✨ Features

• This model was trained on the Quora Duplicate Questions dataset. It can predict a score between 0 and 1 indicating how likely the two given questions are duplicates.
• Note: The model is not suitable to estimate the similarity of questions. For example, the two questions "How to learn Java" and "How to learn Python" will result in a rather low score, as these are not duplicates.

📦 Installation

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

💻 Usage Examples

Basic Usage

Pre-trained models can be used like this:

from sentence_transformers import CrossEncoder

model = CrossEncoder('cross-encoder/quora-roberta-large')
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

No detailed documentation other than the usage example is provided in the original document, so this section is skipped.

🔧 Technical Details

No technical implementation details are provided in the original document, so this section is skipped.

📄 License

This project is licensed under the Apache-2.0 license.