---
title: librispeech
canonical_url: "https://www.modelscope.cn/models/wenet/librispeech"
md_url: "https://www.modelscope.cn/models/wenet/librispeech.md"
repository: wenet/librispeech
last_updated: 2023-04-20
license: "Apache License 2.0"
pipeline_tag: auto-speech-recognition
tasks:
  - auto-speech-recognition
library_name:
  - torch
frameworks:
  - torch
downloads: 126
stars: 0
---

# librispeech

> librispeech - wenet 在 ModelScope 开源的模型。该模型当前使用的是默认介绍模版，处于“预发布”阶段，页面仅限所有者可见。 请根据模型贡献文档说明，及时完善模型卡片内容。ModelScope平台将在模型卡片完善后展示。谢谢您的理解。 示例代码

wenet/librispeech 是 ModelScope 魔搭社区上的auto-speech-recognition模型，采用 Apache License 2.0 许可。

- **Repository**: wenet/librispeech
- **License**: Apache License 2.0
- **Tasks**: auto-speech-recognition
- **Downloads**: 126
- **Stars**: 0
- **Last updated**: 2023-04-20

Source: https://www.modelscope.cn/models/wenet/librispeech

---

###### 该模型当前使用的是默认介绍模版，处于“预发布”阶段，页面仅限所有者可见。
###### 请根据[模型贡献文档说明](https://www.modelscope.cn/docs/%E5%A6%82%E4%BD%95%E6%92%B0%E5%86%99%E5%A5%BD%E7%94%A8%E7%9A%84%E6%A8%A1%E5%9E%8B%E5%8D%A1%E7%89%87)，及时完善模型卡片内容。ModelScope平台将在模型卡片完善后展示。谢谢您的理解。
### 示例代码
```python
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks

if __name__ == '__main__':
    inference_pipline = pipeline(task=Tasks.auto_speech_recognition, model='wenet/librispeech',model_revision='v1.0.0')
    rec_result = inference_pipline(audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_en.wav')
    print(rec_result)

# rec_result: {'text': 'he tried to think how it could be'}
```
#### Clone with HTTP
```bash
 git clone https://www.modelscope.cn/wenet/librispeech.git
```