Sold by: Waltsoft Inc.
Deployed on AWS
7.8M monthly downloads. MPNet-quality multilingual embeddings for 50 languages. Cross-lingual paraphrase detection, deduplication, and search.
Overview
Paraphrase-Multilingual-MPNet-Base-v2 combines the quality of MPNet architecture with multilingual training across 50 languages, delivering 7.8 million monthly downloads as the highest-quality multilingual sentence encoder below the 1B parameter range. Trained on paraphrase pairs in 50 languages, it produces semantically aligned cross-lingual embeddings -- a query in English correctly retrieves similar documents in German, French, Spanish, Japanese, or Chinese. Enterprise applications include multilingual support ticket routing, cross-lingual document deduplication, global product catalog similarity search, and content recommendation systems serving multiple language markets. At 278MB with strong benchmark scores, it hits the quality-performance sweet spot for multilingual production workloads.
Highlights
- 7.8M monthly downloads -- MPNet quality extended to 50 languages in one model
- Cross-lingual alignment: English query retrieves semantically equivalent Spanish, German, or Japanese documents
- 278MB model fits comfortably on ml.m5.xlarge with low inference latency
Details
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Latest version
Deployed on AWS
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $0.10 |
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $0.10 |
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
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Version release notes
Initial release
Additional details
Inputs
- Summary
7.8M monthly downloads. MPNet-quality multilingual embeddings for 50 languages. Cross-lingual paraphrase detection, deduplication, and search.
- Input MIME type
- application/json
https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/text-sample/sample.jsonl
https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/text-sample/sample.jsonl
Support
Vendor support
Contact support@waltsoft.net for deployment assistance.
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