From 1fadb21eb61dc0e4df987eaf0f9c59bdacec6ca4 Mon Sep 17 00:00:00 2001 From: 游雁 <zhifu.gzf@alibaba-inc.com> Date: 星期五, 05 五月 2023 18:49:33 +0800 Subject: [PATCH] docs --- egs_modelscope/speaker_verification/TEMPLATE/README.md | 4 ++-- 1 files changed, 2 insertions(+), 2 deletions(-) diff --git a/egs_modelscope/speaker_verification/TEMPLATE/README.md b/egs_modelscope/speaker_verification/TEMPLATE/README.md index f7b64ce..d6736e3 100644 --- a/egs_modelscope/speaker_verification/TEMPLATE/README.md +++ b/egs_modelscope/speaker_verification/TEMPLATE/README.md @@ -2,7 +2,7 @@ > **Note**: > The modelscope pipeline supports all the models in -[model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope) +[model zoo](https://alibaba-damo-academy.github.io/FunASR/en/model_zoo/modelscope_models.html#pretrained-models-on-modelscope) to inference and finetine. Here we take the model of xvector_sv as example to demonstrate the usage. ## Inference with pipeline @@ -50,7 +50,7 @@ ### API-reference #### Define pipeline - `task`: `Tasks.speaker_verification` -- `model`: model name in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_models.html#pretrained-models-on-modelscope), or model path in local disk +- `model`: model name in [model zoo](https://alibaba-damo-academy.github.io/FunASR/en/model_zoo/modelscope_models.html#pretrained-models-on-modelscope), or model path in local disk - `ngpu`: `1` (Default), decoding on GPU. If ngpu=0, decoding on CPU - `output_dir`: `None` (Default), the output path of results if set - `batch_size`: `1` (Default), batch size when decoding -- Gitblit v1.9.1