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Bart Ranker
B
Bart Ranker
Developed by bsl
This model is used to predict the relevance of query-document pairs, suitable for information retrieval tasks.
Downloads 31
Release Time : 2/2/2023
Model Overview
A text ranking model based on sentence similarity, primarily used to evaluate the relevance between queries and documents.
Model Features
Query-Document Relevance Prediction
Accurately predicts the relevance between queries and documents, suitable for information retrieval scenarios.
Sentence Similarity Calculation
Supports calculating the similarity between two sentences, applicable to text matching tasks.
Model Capabilities
Text Ranking
Sentence Similarity Calculation
Information Retrieval
Use Cases
Information Retrieval
Document Retrieval
Retrieve the most relevant documents based on user queries
Improves the relevance of retrieval results
Question Answering System
Match user questions with candidate answers
Enhances the accuracy of the question answering system
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