NGC | Catalog
CatalogCollectionsTLT/Jarvis - Question Answering

TLT/Jarvis - Question Answering

For contents of this collection and more information, please view on a desktop device.
Logo for TLT/Jarvis - Question Answering


This collection contains models and notebooks for Question Answering training and deployment with TLT and Jarvis respectively




July 28, 2021
Helm Charts

Question and Answering Collection


This page contains the information about the Question and Answering collection with TLT.

The models in this collection can be used to find answer spans for questions inside of a given text. They are trained on generic datasets like Squad and can be used with proprietary user content.

Available Models

For instructions on how to use a model, please see its corresponding model card page:


License to use these models is covered by the Model EULA. By downloading the model checkpoints, you accept the terms and conditions of these licenses.

Suggested Reading

Ethical AI

NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.