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SFR Embedding 2 R

Developed by Salesforce
A general-purpose text embedding model developed by Salesforce, excelling in various NLP tasks
Downloads 26.90k
Release Time : 6/14/2024

Model Overview

This is a high-performance text embedding model capable of converting text into high-quality vector representations, suitable for various natural language processing tasks

Model Features

Multi-task high performance
Excels in various NLP tasks such as classification, clustering, and retrieval
General embedding capability
Capable of generating high-quality text vector representations suitable for various downstream tasks
Semantic understanding
Accurately captures semantic information of text, performing exceptionally well in semantic similarity tasks

Model Capabilities

Text classification
Text clustering
Information retrieval
Semantic similarity calculation
Text reranking

Use Cases

E-commerce
Product review classification
Classifying Amazon product reviews
Achieved 97.31% accuracy on the AmazonPolarity dataset
Counterfactual review detection
Identifying counterfactual reviews on Amazon
Achieved 92.72% accuracy on the AmazonCounterfactual dataset
Finance
Bank customer inquiry classification
Classifying bank customer inquiries
Achieved 90.02% accuracy on the Banking77 dataset
Academic research
Academic paper clustering
Clustering arXiv and biorxiv papers
Achieved v_measure of 54.02 on arXivClusteringP2P
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