From 4ace5a95b052d338947fc88809a440ccd55cf6b4 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 16 十一月 2023 16:39:52 +0800
Subject: [PATCH] funasr pages

---
 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

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