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@@ -1,9 +1,13 @@
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# Speech Recognition
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+.. HINT::
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+
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+
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+ The modelscope pipeline supports all the models in [model zoo] to inference and finetine. Here we take model of Paraformer and Paraformer-online as example to demonstrate the usage.
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## Inference
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### Quick start
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-#### Paraformer model
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+#### [Paraformer model](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary)
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```python
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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@@ -16,7 +20,7 @@ inference_pipeline = pipeline(
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rec_result = inference_pipeline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav')
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print(rec_result)
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```
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-#### Paraformer-online
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+#### [Paraformer-online model](https://www.modelscope.cn/models/damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/summary)
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```python
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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@@ -61,11 +65,11 @@ Full code of demo, please ref to [demo](https://github.com/alibaba-damo-academy/
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- `audio_fs`: audio sampling rate, only set when audio_in is pcm audio
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-#### Inference with you data
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+### Inference with you data
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-#### Inference with multi-threads on CPU
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+### Inference with multi-threads on CPU
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-#### Inference with multi GPU
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+### Inference with multi GPU
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## Finetune with pipeline
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