使用命令行工具 CLI 快速体验语音识别效果,命令如下: ```bashpaddlespeech asr --model conformer_talcs --lang zh_en --codeswitch True --input ./ch_zh_mix.wav -v# 终端输出:今天是 monday 明天是 tuesday``` Python 接口快速体验,代码实现如下: ```python>>> import paddle>>> from paddlespeech....
Python 接口快速体验,代码实现如下: ```python>>>importpaddle>>>frompaddlespeech.cli.asrimportASRExecutor>>>asr_executor = ASRExecutor()>>>text = asr_executor(model='conformer_talcs',lang='zh_en',sample_rate=16000,config=None,ckpt_path=None,audio_file='./ch_zh_mix.wav',codeswitch=True,f...
欢迎广大开发者使用 NVIDIA 与飞桨联合深度适配的 NGC 飞桨容器,在 NVIDIA GPU 上体验 PaddleSpeech 中英文混合语音识别方案。 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...
helm plugin install https://github.com/chartmuseum/helm-push.git 登入NGC Helm Registry NGC 文件提供了与配置 Helm 环境有关的逐步说明。您可以使用之前设定的 NGC CLI API 密钥,透过 Helm 服务进行验证。必须新增两个 Helm 储存库:公用目录(可以取得入门 DeepStream Chart)和 NGC Private Registry(可以分享和...
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. ...
Go tohttps://ngc.nvidia.com/setup/installers/clito download the CLI and to read the installation instructions for your platform. After you install the CLI, your first step is to configure the CLI for your NGC account. The first time that you use the CLI, you must set your configuration....
6.1. Installing NGC Catalog CLI To install NGC Catalog CLI, Enter the NGC website (https://ngc.nvidia.com) as a guest user. In the top right corner, click Welcome Guest and then select Setup from the menu. Click Downloads under CLI from the Setup page. From the CLI Install page,...
2.5.1. Installing NGC Registry CLI To install NGC Registry CLI, Log in to your enterprise account on the NGC website (https://ngc.nvidia.com). In the top right corner, click your user account icon and select Setup, then click Downloads under CLI from the Setup page. From the CLI ...
Install the NGC CLI from ngc.nvidia.com Configure the NGC CLI using the following command ngc config set To view all the models that are supported in TAO: ngc registry model list nvidia/tao/bodypose3dnet:* To download the model:
To use the NGC CLI tool, configure the Base Command Platform user, team, organization, and cluster information using the ngc config command as described here.An example command to launch the container on a single-GPU instance is:ngc batch run --name "My-1-GPU-pytorch-job" --instance dgx...