From c2e4e3c2e9be855277d9f4fa9cd0544892ff829a Mon Sep 17 00:00:00 2001 From: 游雁 <zhifu.gzf@alibaba-inc.com> Date: 星期三, 30 八月 2023 09:57:30 +0800 Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR add --- 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