From 68808cb5f6db3a761ad6286683e0ea3b9edddc19 Mon Sep 17 00:00:00 2001
From: haoneng.lhn <haoneng.lhn@alibaba-inc.com>
Date: 星期三, 11 十月 2023 16:16:46 +0800
Subject: [PATCH] update github io
---
docs/academic_recipe/asr_recipe.md | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/docs/academic_recipe/asr_recipe.md b/docs/academic_recipe/asr_recipe.md
index 5a11dc5..9e19c61 100644
--- a/docs/academic_recipe/asr_recipe.md
+++ b/docs/academic_recipe/asr_recipe.md
@@ -12,7 +12,7 @@
Then you can directly start the recipe as follows:
```sh
conda activate funasr
-. ./run.sh --CUDA_VISIBLE_DEVICES="0,1" --gpu_num=2
+bash run.sh --CUDA_VISIBLE_DEVICES "0,1" --gpu_num 2
```
The training log files are saved in `${exp_dir}/exp/${model_dir}/log/train.log.*`锛� which can be viewed using the following command:
@@ -264,4 +264,4 @@
### Decoding by CPU or GPU
-We support CPU and GPU decoding. For CPU decoding, set `gpu_inference=false` and `njob` to specific the total number of CPU jobs. For GPU decoding, first set `gpu_inference=true`. Then set `gpuid_list` to specific which GPUs for decoding and `njob` to specific the number of decoding jobs on each GPU.
\ No newline at end of file
+We support CPU and GPU decoding. For CPU decoding, set `gpu_inference=false` and `njob` to specific the total number of CPU jobs. For GPU decoding, first set `gpu_inference=true`. Then set `gpuid_list` to specific which GPUs for decoding and `njob` to specific the number of decoding jobs on each GPU.
--
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