From f1c1cb0773fca5e9d1ee595ef6ca2ff4bad9f2a4 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期二, 30 一月 2024 14:47:26 +0800
Subject: [PATCH] funasr1.0.4
---
runtime/quick_start.md | 30 ------------------------------
1 files changed, 0 insertions(+), 30 deletions(-)
diff --git a/funasr/quick_start.md b/runtime/quick_start.md
similarity index 83%
rename from funasr/quick_start.md
rename to runtime/quick_start.md
index 44ce5c4..4f251c7 100644
--- a/funasr/quick_start.md
+++ b/runtime/quick_start.md
@@ -132,33 +132,3 @@
For more examples, please refer to [docs](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline.md)
-
-## Industrial Model Egs
-
-If you want to use the pre-trained industrial models in ModelScope for inference or fine-tuning training, you can refer to the following command:
-
-```python
-from modelscope.pipelines import pipeline
-from modelscope.utils.constant import Tasks
-
-inference_pipeline = pipeline(
- task=Tasks.auto_speech_recognition,
- model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
-)
-
-rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
-print(rec_result)
-# {'text': '娆㈣繋澶у鏉ヤ綋楠岃揪鎽╅櫌鎺ㄥ嚭鐨勮闊宠瘑鍒ā鍨�'}
-```
-
-More examples could be found in [docs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html)
-
-## Academic model egs
-
-If you want to train from scratch, usually for academic models, you can start training and inference with the following command:
-
-```shell
-cd egs/aishell/paraformer
-. ./run.sh --CUDA_VISIBLE_DEVICES="0,1" --gpu_num=2
-```
-More examples could be found in [docs](https://alibaba-damo-academy.github.io/FunASR/en/modelscope_pipeline/quick_start.html)
--
Gitblit v1.9.1