TAO/RIVA - Language Model
Description
Curator
Modified
Containers
Helm Charts
Models
Resources
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
- More information about the TAO Toolkit can be found at the NVIDIA Developer Zone
- Read the TAO getting Started guide and release notes.
- More information about the experiment spec files can be found in the TAO User Guide
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.