Sold by: John Snow LabsÂ
Overview
A powerful tool that delivers unmatched accuracy and efficiency, specifically built to handle the complexities of medical terminology. This model was rigorously tested against leading services and baselines. The results speak for themselves:
- Higher BLEU scores in medical translations compared to Google Translate.
- Exceptional performance in both English to French and Frenchto English translations.
IMPORTANT USAGE INFORMATION:
After subscribing to this product and creating a SageMaker endpoint, billing occurs on an HOURLY BASIS for as long as the endpoint is running.
-Charges apply even if the endpoint is idle and not actively processing requests.
-To stop charges, you MUST DELETE the endpoint in your SageMaker console.
-Simply stopping requests will NOT stop billing.
This ensures you are only billed for the time you actively use the service.
Highlights
- **Runs on (almost) Anything!** No need for expensive hardware. Our model is designed to run smoothly on standard CPUs with just 2 cores and 8 GB of memory. It can even leverage GPUs for an extra performance boost if available.
- **Built for Medical Needs** This model is your perfect partner if you are a: - Medical professional: Ensure clear and precise communication with French-speaking patients. - Healthcare institution: Translate medical documents accurately and efficiently.
- **Key Benefits** * Unmatched Accuracy: Medical translations you can trust. * Effortless Efficiency: Runs on standard hardware, saving you resources. * Scalable Power: Utilize GPUs for even faster processing (optional). Stop struggling with medical translation barriers. This model empowers clear communication and accurate information exchange.
Details
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Delivery method
Latest version
Deployed on AWS
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Financing for AWS Marketplace purchases
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Pricing
Free trial
Try this product free for 15 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.2xlarge Inference (Batch) Recommended | Model inference on the ml.g5.2xlarge instance type, batch mode | $47.52 |
ml.g4dn.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $23.76 |
ml.g4dn.xlarge Inference (Batch) | Model inference on the ml.g4dn.xlarge instance type, batch mode | $23.76 |
ml.g5.2xlarge Inference (Real-Time) | Model inference on the ml.g5.2xlarge instance type, real-time mode | $47.52 |
Vendor refund policy
No refunds are possible.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Medical Text Translation En-Fr
Additional details
Inputs
- Summary
- Array of Text Documents Each element represents a separate text document.
- Single Text Document
- JSON Lines (JSONL): Each line is a JSON object representing a text document.
- Input MIME type
- application/json, application/jsonlines
https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/products/sagemaker/models/jsl-medical-translation-en-fr/inputs/real-time
https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/products/sagemaker/models/jsl-medical-translation-en-fr/inputs/batch
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
text | The text to be translated. | Type: FreeText | Yes |
direction | The direction of the required translation | Default value: en_to_fr
Type: Categorical
Allowed values: en_to_fr, fr_to_en | No |
Resources
Vendor resources
Support
Vendor support
For any assistance, please reach out to support@johnsnowlabs.com .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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