Jarvis Speech Skills is a Docker image containing a toolkit for production-grade conversational AI inference. The Jarvis Speech API server exposes a simple API for performing speech recognition, speech synthesis, and a variety of natural language processing inferences. Pull and run the container by using the commands below. No GPU is required to run the sample clients.
Procedure
Select the Tags tab and locate the container image release that you want to run.
In the Pull Tag column, click the icon to copy the docker pull
command.
Open a command prompt and paste the pull command. The pulling of the container image begins. Ensure the pull completes successfully before proceeding to the next step.
Run the container image.
If you have Docker 19.03 or later, a typical command to launch the container is:
docker run --gpus all -it --rm -v local_dir:container_dir nvcr.io/nvidia/jarvis/jarvis-speech:x.x.x-server
If you have Docker 19.02 or earlier, a typical command to launch the container is:
nvidia-docker run -it --rm -v local_dir:container_dir nvcr.io/nvidia/jarvis/jarvis-speech:x.x.x-server
Where:
-it
means run in interactive mode--rm
will delete the container when finished-v
is the mounting directorylocal_dir
is the directory or file from your host system (absolute path) that you want to access from inside your container. container_dir
is the target directory when you are inside your container. x.x.x
is the version of Jarvis Speech Skills. For example, 1.0.0-b.4
.For more information about using NGC, refer to the NGC Container User Guide.
For the latest release specific documentation, refer see the Release Notes.
For a full list of the supported hardware and software, refer to the Support Matrix.
For all other documentation, refer to the User Guide.
By pulling and using Jarvis software, you accept the terms and conditions of this license.