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.
GluonNLP Sentence Generator
Latest Version:
1.0
Pre-trained sequence sampler for sentence generation, powered by GluonNLP.
Product Overview
Given an incomplete sentence, this model predicts sentences that are most likely to occur in the context. For example, given input "I love it", it will generate samples like "I love it and enjoy one of their series, Schafer or Clive ."
Key Data
Version
Type
Model Package
Highlights
This model generates text most likely to follow given inputs.
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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.
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$0.00/hr
running on ml.m4.xlarge
Model Batch Transform$0.00/hr
running on ml.m4.xlarge
Infrastructure PricingWith 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
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$0.24/host/hr
running on ml.m4.xlarge
SageMaker Batch Transform$0.24/host/hr
running on ml.m4.xlarge
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.m4.4xlarge | $0.00 | |
ml.m5.4xlarge | $0.00 | |
ml.m5.12xlarge | $0.00 | |
ml.m4.16xlarge | $0.00 | |
ml.m5.2xlarge | $0.00 | |
ml.c4.4xlarge | $0.00 | |
ml.m5.xlarge | $0.00 | |
ml.c5.9xlarge | $0.00 | |
ml.m4.xlarge Vendor Recommended | $0.00 | |
ml.c5.4xlarge | $0.00 | |
ml.m4.2xlarge | $0.00 | |
ml.c5.2xlarge | $0.00 | |
ml.m5.large | $0.00 | |
ml.c4.2xlarge | $0.00 | |
ml.c4.8xlarge | $0.00 | |
ml.m4.10xlarge | $0.00 | |
ml.c4.xlarge | $0.00 | |
ml.m5.24xlarge | $0.00 | |
ml.c5.18xlarge | $0.00 | |
ml.c5.xlarge | $0.00 |
Usage Information
Fulfillment Methods
Amazon SageMaker
Supports JSON input.
AWS APIs can be used to invoke the model after endpoint creation, for example, using aws-cli:
aws sagemaker-runtime invoke-endpoint --endpoint-name your_endpoint_name --body '{"data":"I love it", "k": 5}' --content-type application/json --accept application/json >(cat) 1>/dev/null
"data" is required field, specifying the input sequence. "k" is an optional field, speficying how many samples to be generated. "k" must be less than or equal to 5.
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
GluonNLP Sentence Generator
For model usage support, please refer to GluonNLP. Searching for related questions or open new issues.
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.
Learn MoreRefund Policy
None.
Customer Reviews
Jeevan Ignatious Reddy G.
A review on GluonNLP Sentence Generator
Feb 26, 2024
What do you like best about the product?It's a user friendly for natural language generation which
helps in sentence generatorWhat do you dislike about the product?It is not accurate when sentences
are too longWhat problems is the product solving and how is that benefiting you?its helpi... Read more
helps in sentence generatorWhat do you dislike about the product?It is not accurate when sentences
are too longWhat problems is the product solving and how is that benefiting you?its helpi... Read more
Ihor M.
Accurate Sentence Generation
Oct 24, 2023
What do you like best about the product?GluonNLP is user friendly, with its features and accurate
sentence generation. The model package is understandable to all.What do you dislike about the
product?There is less creativity in generating sentence. A user friendly interface enhance... Read more
sentence generation. The model package is understandable to all.What do you dislike about the
product?There is less creativity in generating sentence. A user friendly interface enhance... Read more
Joe C.
View allConsistently delivers results
Oct 12, 2023
What do you like best about the product?It provides the range of features. Generating sentences is a
breeze with this tool.What do you dislike about the product?Incorporating advanced features, like
context awareness and creativity increases its text generation capabilities.What problem... Read more
breeze with this tool.What do you dislike about the product?Incorporating advanced features, like
context awareness and creativity increases its text generation capabilities.What problem... Read more
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