BELLE-2
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Belle-whisper-large-v3-turbo-zh

Automatic Speech Recognition

Inference Endpoints

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shuaijiang commited on Oct 16, 2024

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@@ -40,7 +40,7 @@ transcription = transcriber("my_audio.wav")
 |:----------------:|:-------:|:----------------------------------------------------------:|:-----------:|
 | Belle-whisper-large-v3-turbo-zh | 16KHz | [AISHELL-1](https://openslr.magicdatatech.com/resources/33/) [AISHELL-2](https://www.aishelltech.com/aishell_2) [WenetSpeech](https://wenet.org.cn/WenetSpeech/) [HKUST](https://catalog.ldc.upenn.edu/LDC2005S15)  |   [full fine-tuning](https://github.com/shuaijiang/Whisper-Finetune)   |
-To incorporate punctuation marks without compromising performance, Lora fine-tuning was employed.
 If you want to fine-thuning the model on your datasets, please reference to the [github repo](https://github.com/shuaijiang/Whisper-Finetune)

 |:----------------:|:-------:|:----------------------------------------------------------:|:-----------:|
 | Belle-whisper-large-v3-turbo-zh | 16KHz | [AISHELL-1](https://openslr.magicdatatech.com/resources/33/) [AISHELL-2](https://www.aishelltech.com/aishell_2) [WenetSpeech](https://wenet.org.cn/WenetSpeech/) [HKUST](https://catalog.ldc.upenn.edu/LDC2005S15)  |   [full fine-tuning](https://github.com/shuaijiang/Whisper-Finetune)   |
 If you want to fine-thuning the model on your datasets, please reference to the [github repo](https://github.com/shuaijiang/Whisper-Finetune)