Sold by: Lelapa AIÂ
Deployed on AWS
Use Lelapa AI's Vulavula Multilingual NER Model to identify and categorize named entities in text across multiple African languages
Overview
At Lelapa AI, we're committed to advancing language technology and broadening its reach with our specialized Vulavula Multilingual Named Entity Recognition (NER) Model, particularly designed for Africa's linguistic diversity. This innovative model efficiently identifies and categorizes named entities in text, such as names, places, and organizations, across several key African languages. By converting raw text into a structured format, it provides deeper insights and supports nuanced interactions, especially in chatbot applications. Currently operational in English, Afrikaans, isiZulu, and Sesotho, our efforts continue as we plan to extend support to additional South African and Sub-Saharan languages. This powerful tool enhances data extraction processes, enabling more sophisticated analysis and applications in multilingual environments.
Highlights
- Expansive Language Support: Lelapa AI introduces the Vulavula NER Model, engineered to comprehend and process text across a wide array of African languages, significantly expanding access to advanced NLP tools beyond dominant global languages.
- Precision and Speed: With its cutting-edge technology, the Vulavula NER Model excels in swiftly identifying and classifying named entities with a higher degree of accuracy than conventional models, enhancing both user experience and data utility.
- Adaptable Applications: Designed to support diverse needs, Lelapa AI's model is perfect for a range of applications including semantic search, precise text analysis, and dynamic content moderation in multilingual environments, making it a robust tool for developers and businesses targeting African markets.
Details
Sold by
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 | $18.00 |
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $10.00 |
Vendor refund policy
Refunds for services rendered via third party marketplaces are granted solely at our discretion and only in cases of non-delivery or significant non-conformance with the service description as detailed on our website. All refund requests must be made formally in writing within seven days of purchase. For further assistance, please contact our support team.
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
This is the first version
Additional details
Inputs
- Summary
The model accepts text/csv and application/json requests that specifies the input text .
text = "This is a test"
- Input MIME type
- text/csv
https://github.com/Lelapa-AI/lelapa-aws/blob/main/lelapa_aws/input.csv
https://github.com/Lelapa-AI/lelapa-aws/blob/main/lelapa_aws/input.csv
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
text | This can be a paragraph or a very large article with so many paragraphs . | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
Lelapa AI Multilingual Named Entity Recognition (NER) Model support@lelapa.aiÂ
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.
Similar products
Use Lelapa AI's Vulavula Multilingual Sentiment Analysis Model to analyze and categorize sentiments in text across isiZulu.
Transcribe and interpret spoken language across African languages with Lelapa AI's Vulavula Multilingual ASR Model.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.