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TAO/RIVA - Language Model

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Description

This collection contains models and notebooks for Text Classification training and deployment with TAO Toolkit and Riva respectively.

Curator

NVIDIA

Modified

March 31, 2022
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Language Model Collection

Overview

This page contains the information about the Language Model collection with TAO.

The models in this collection are N-Gram language models that can be used to estimate the likelihoods of phrases in the English language.

They are trained on generic datasets like Librispeech 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

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.