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游雁

2023-03-24 547242106ba5f9b5eadac3a380e7bac35a61b98f

readme

 funasr/runtime/python/libtorch/README.md

@@ -1,4 +1,4 @@
## Using paraformer with libtorch
## Using funasr with libtorch


### Introduction
@@ -7,13 +7,6 @@
### Steps:
1. Export the model.
   - Command: (`Tips`: torch >= 1.11.0 is required.)

      ```shell
      python -m funasr.export.export_model [model_name] [export_dir] false
      ```
      `model_name`: the model is to export.

      `export_dir`: the dir where the onnx is export.

       More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))

@@ -29,10 +22,7 @@

2. Install the `funasr_torch`.
    ```shell
    git clone https://github.com/alibaba/FunASR.git && cd FunASR
    cd funasr/runtime/python/libtorch
    python setup.py build
    python setup.py install
    pip install funasr_torch -i https://pypi.Python.org/simple
    ```



 funasr/runtime/python/onnxruntime/README.md

@@ -1,9 +1,5 @@
## Using paraformer with ONNXRuntime
## Using funasr with ONNXRuntime

<p align="left">
    <a href=""><img src="https://img.shields.io/badge/Python->=3.7,<=3.10-aff.svg"></a>
    <a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
</p>

### Introduction
- Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary).
@@ -12,13 +8,6 @@
### Steps:
1. Export the model.
   - Command: (`Tips`: torch >= 1.11.0 is required.)

      ```shell
      python -m funasr.export.export_model [model_name] [export_dir] [true]
      ```
      `model_name`: the model is to export.

      `export_dir`: the dir where the onnx is export.

       More details ref to ([export docs](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export))

@@ -33,16 +22,10 @@


2. Install the `funasr_onnx`.
   - Build the funasr_onnx `whl`
     ```shell
     git clone https://github.com/alibaba/FunASR.git && cd FunASR
     cd funasr/runtime/python/onnxruntime
     python setup.py bdist_wheel
     ```
   - Install the build `whl`
     ```bash
     pip install dist/funasr_onnx-0.0.2-py3-none-any.whl
     ```
```shell
pip install funasr_onnx -i https://pypi.Python.org/simple
```


3. Run the demo.
   - Model_dir: the model path, which contains `model.onnx`, `config.yaml`, `am.mvn`.