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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Medical Text Translation (EN-ES) Free trial

Latest Version:
5.4.2
Cutting-edge English - Spanish medical translation model.

    Product 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 Spanish and Spanish to English translations.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    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 Spanish-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.

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$23.76/hr

    running on ml.g4dn.xlarge

    Model Batch Transform$11.88/hr

    running on ml.m4.2xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.736/host/hr

    running on ml.g4dn.xlarge

    SageMaker Batch Transform$0.48/host/hr

    running on ml.m4.2xlarge

    About Free trial

    Try this product for 15 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.c5.2xlarge
    $5.94
    ml.g4dn.xlarge
    Vendor Recommended
    $23.76
    ml.c5.4xlarge
    $5.94
    ml.m4.2xlarge
    $11.88

    Usage Information

    Model input and output details

    Input

    Summary
    1. Array of Text Documents Each element represents a separate text document.
      {
       "text": [
           "Text document 1",
           "Text document 2",
           ...
       ]
      }
    2. Single Text Document
      {
       "text": "Single text document"
      }
    3. JSON Lines (JSONL): Each line is a JSON object representing a text document.
      {"text": "Text document 1"}
      {"text": "Text document 2"}
    Input MIME type
    application/json, application/jsonlines
    Sample input data

    Output

    Summary
    1. JSON Format

      {
       "predictions": [
           "Output 1",
           "Output 2",
           ...
       ]
      }

      The "predictions" field contains an array of element representing the output text corresponding to the input documents provided.

    2. JSON Lines (JSONL) Format

      {"predictions": "Output  1"}
      {"predictions": "Output  2"}

      The JSON Lines format consists of individual JSON objects, where each object represents predictions for a single input text.

    Output MIME type
    application/json, application/jsonlines
    Sample output data

    Additional Resources

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Medical Text Translation (EN-ES)

    For any assistance, please reach out to support@johnsnowlabs.com.

    AWS Infrastructure

    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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    Refund Policy

    No refunds are possible.

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