-p 80:8888 nvcr.io/nvidia/tlt-streamanalytics:v2.0_py3 /bin/bash TLT 容器已预安装了 NGC CLI,让您能以更简单之方式使用目录中的模型和程序代码。您可以使用此 CLI 取得本文章随附的范例 notebook。其可使用以下命令,取得需要的所有说明和程序代码: $ ngc registry resource download-version "nvidia/gtc...
https://org.ngc.nvidia.com/setup/installers/cli 安装好后需要输入自己的NVIDIA NGC的API KEY,该信息在下面地址中生成: https://org.ngc.nvidia.com/setup/api-key
NGC集群的使用需要用到ngc命令行,安装方法如下: 下载NGC CLI wget --content-disposition https://ngc.nvidia.com/downloads/ngccli_linux.zip && unzip ngccli_linux.zip && chmod u+x ngc-cli/ngc 检查二进制文件md5 hash find ngc-cli/ -type f -exec md5sum {} + | LC_ALL=C sort | md5sum -...
1,登陆(需要翻墙) 2,安装 NGC CLI 根据平台选择相应的下载,我是AMD64 先择执行下面的命令(关闭翻墙下载更快) wget -O ngccli_cat_linux.zip https://ngc.nvidia.com/downloads/ngccli_cat_linux.zip && unzip -o ngccli_cat_linux.zip && chmod u+x ngc 1. md5sum -c ngc.md5 1. echo "export ...
本次PaddleSpeech 发布的中英文语音识别预训练模型 Conformer_talcs 以通过 PaddleSpeech 封装的命令行工具 CLI 或者 Python 接口快速使用,开发者们可以基于此搭建自己的智能语音应用,也可以参考示例训练自己的中英文语音识别模型。 示例链接: https://github.com/PaddlePaddle/PaddleSpeech/tree/develop/examples/tal_cs...
The NGC command line interface (NGC CLI) can run deep learning jobs on NVIDIA Docker containers. DocumentationDownloads SDK Collection of tools that developers use to create applications for a specific platform, operating system, or programming language....
NGC Command-Line Interface (CLI) With NVIDIA GPU Cloud (NGC) CLI, you can perform many of the same operations that are available from the NGC website, such as running jobs, viewing Docker repositories and downloading AI models within your organization and team space. ...
NGC CLI configuration ensures that you have access to the resources and roles for an organization. The configuration also determines which container registry space within your organization that you can access. When you configure the NGC CLI for the first time, you set the default organization to ...
(NGC). We use one of the fine-tuned models to demonstrate performance which can be achieved from a fully trained model as well as optimized for inference/deployment. We will use the NGC CLI (which has been pre-installed in this container) to download the corresponding model. In this case...
(NGC). We use one of the fine-tuned models to demonstrate performance which can be achieved from a fully trained model as well as optimized for inference/deployment. We will use the NGC CLI (which has been pre-installed in this container) to download the corresponding model. In this case...