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gaoqiong
RapidASR
Commits
555e34b6
"official/nlp/bert/run_pretraining.py" did not exist on "15db2195e861fbc03a37f7cfe3382fa72b05f230"
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Commit
555e34b6
authored
Feb 27, 2023
by
SWHL
Committed by
GitHub
Feb 27, 2023
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Update README
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@@ -37,7 +37,10 @@
pip
install
-r
requirements.txt
```
2.
下载模型
-
由于模型太大(823.8M),上传到仓库不容易下载,提供百度云下载连接:
[
asr_paraformerv2.onnx
](
https://pan.baidu.com/s/1-nEf2eUpkzlcRqiYEwub2A?pwd=dcr3
)
(模型MD5:
`9ca331381a470bc4458cc6c0b0b165de`
)
-
由于模型太大(823.8M),上传到仓库不容易下载,
-
(推荐)自助转换:基于modescope下的notebook环境,可一键转换,详情戳:
[
快速体验
](
https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary
)
-
打开notebook → Cell中输入
`!python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" true`
, 执行即可。
-
提供百度云下载连接:
[
asr_paraformerv2.onnx
](
https://pan.baidu.com/s/1-nEf2eUpkzlcRqiYEwub2A?pwd=dcr3
)
(模型MD5:
`9ca331381a470bc4458cc6c0b0b165de`
)
-
模型下载之后,放在
`resources/models`
目录下即可,最终目录结构如下:
```
text
.
...
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