Overview
OPUS-MT English to Spanish is a production-grade neural machine translation model from Helsinki-NLP with over 4 million monthly downloads. At 298MB it runs entirely on CPU (ml.m5.xlarge) with sub-200ms latency per sentence, making it ideal for high-volume translation pipelines without GPU cost. Trained on the OPUS parallel corpus, it delivers strong BLEU scores for general, technical, and e-commerce text. Apache-2.0 licensed - fully commercial-safe. Use it for product catalog localization, customer support translation, content internationalization, and document translation at scale.
Highlights
- 298MB CPU model - no GPU needed, runs on ml.m5.xlarge
- 4M+ monthly downloads - proven in production translation pipelines
- Apache-2.0 - fully commercial-safe for any business use
Details
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Pricing
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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No refunds.
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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.
Version release notes
Initial release
Additional details
Inputs
- Summary
4M+ monthly downloads. 298MB English-toSpanish neural machine translation. CPU-optimized, Apache-2.0, production-ready.
- Input MIME type
- application/json
Support
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Contact support@waltsoft.net for deployment assistance.
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