Paraphrase Multilingual Mpnet Base V2 Embedding All
This model is a fine-tuned version of paraphrase-multilingual-mpnet-base-v2, supporting English and German sentence similarity calculation, suitable for multilingual text embedding tasks.
Downloads 28
Release Time : 2/23/2023
Model Overview
This model is primarily used for sentence similarity calculation and feature extraction. Fine-tuned on multiple datasets, it can generate high-quality sentence embeddings.
Model Features
Multilingual support
Supports sentence similarity calculation and feature extraction for English and German.
High-quality embeddings
Fine-tuned on multiple high-quality datasets to generate accurate sentence embeddings.
Efficient training
Utilizes mixed-precision training and D-Adaptation optimization techniques for high training efficiency.
Model Capabilities
Sentence similarity calculation
Text feature extraction
Multilingual text processing
Use Cases
Information retrieval
QA system
Can be used to build QA systems for matching questions with relevant answers.
Achieved a top_1 accuracy of 32.4% in evaluation.
Document retrieval
Used to retrieve the most relevant documents for a query.
Achieved a top_10 accuracy of 50.1% in evaluation.
Text analysis
Text clustering
Can be used to cluster semantically similar texts into groups.
Featured Recommended AI Models
Š 2025AIbase