From 2a66366be4c2715870e4859fd5a5db6e8a9dc00a Mon Sep 17 00:00:00 2001 From: chenmengzheAAA <123789350+chenmengzheAAA@users.noreply.github.com> Date: 星期四, 14 九月 2023 19:00:17 +0800 Subject: [PATCH] Merge pull request #956 from alibaba-damo-academy/chenmengzheAAA-patch-4 --- egs_modelscope/speaker_diarization/TEMPLATE/README.md | 6 +++--- 1 files changed, 3 insertions(+), 3 deletions(-) diff --git a/egs_modelscope/speaker_diarization/TEMPLATE/README.md b/egs_modelscope/speaker_diarization/TEMPLATE/README.md index 99c9b59..0b354ad 100644 --- a/egs_modelscope/speaker_diarization/TEMPLATE/README.md +++ b/egs_modelscope/speaker_diarization/TEMPLATE/README.md @@ -2,8 +2,8 @@ > **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) -to inference and finetine. Here we take the model of xvector_sv as example to demonstrate the usage. +[model zoo](https://alibaba-damo-academy.github.io/FunASR/en/model_zoo/modelscope_models.html#pretrained-models-on-modelscope) +to inference and finetune. Here we take the model of xvector_sv as example to demonstrate the usage. ## Inference with pipeline ### Quick start @@ -40,7 +40,7 @@ ### API-reference #### Define pipeline - `task`: `Tasks.speaker_diarization` -- `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