Overview
A versatile solution to generate a crisp and choherent summary of a document. It uses a large language model to analyze the text and apply natural language generation to generate the summary. The user can pass on arguments to manage the length and content of the summary. This allows this solution to be used in many business scenarios like content management, report analysis, search etc.
Highlights
- This solution uses an advanced pre-trained transformer based model to generate summaries that not only extract key information from the source text but also paraphrase and rephrase it in a concise and coherent manner. This results in more human-like summaries compared to extractive summarization methods.
- Abstrctive Text Summarizer can be used in indsutries like media, news aggregators, research & academic institution, customer service, legal departments, law firms, market research, education etc to generate concise summaries of relevant documents, records, reports and news for rapid consumption and analysis.
- Need more machine learning, deep learning, NLP and Quantum Computing solutions. Reach out to us at Harman DTS.
Details
Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
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Pricing
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.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $20.00 |
ml.t2.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.t2.2xlarge instance type, real-time mode | $3.00 |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $20.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $20.00 |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $20.00 |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $20.00 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $20.00 |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $20.00 |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $20.00 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $20.00 |
Vendor refund policy
We do not provide any usage related refunds at this time.
Legal
Vendor terms and conditions
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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
Feature updates and bug fixes
Additional details
Inputs
- Summary
A plain text file containing the english text content to be summarized.
- Input MIME type
- text/plain
https://github.com/HDTS-user/eNova-Abstractive-Text-Summarizer/tree/main/input
https://github.com/HDTS-user/eNova-Abstractive-Text-Summarizer/tree/main/input
Custom attributes
The following table describes custom attributes for real-time inference endpoints.
Field name | Description | Constraints | Required |
|---|---|---|---|
ratio | The fractional length of the summary with respect to the input content (in number of tokens) | Default value: no default value
Type: Continuous
Minimum: 0
Maximum: 1 | No |
min_length | Minimum length (in number of tokens) for the generated summary. If this length is greater than the input content length then it falls back to the input content length and may not produce the best results. | Default value: 20
Type: Integer | No |
max_length | Maximum length (in number of tokens) for the generated summary. If this length is greater than the input content length then it falls back to the input content length and may not produce the best results. | Default value: 200
Type: Integer | No |
top_n | Number of top candidate sentences for the summary generation to be used. | Default value: no default value
Type: Integer | No |
Resources
Support
Vendor support
Business hours email support marketplaceSupp@harman.comÂ
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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