fix benchmark links (#1092)

Meng Wei

2023-11-15 12d694f94cb4d25ee9a981a16f9197e4bb13b4eb

fix benchmark links (#1092)

 runtime/python/libtorch/README.md

@@ -1,6 +1,7 @@
# Libtorch-python

## Export the model

### Install [modelscope and funasr](https://github.com/alibaba-damo-academy/FunASR#installation)

```shell
@@ -18,14 +19,16 @@
python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type torch --quantize True
```

## Install the `funasr_torch`.
    
## Install the `funasr_torch`

install from pip

```shell
pip install -U funasr_torch
# For the users in China, you could install with the command:
# pip install -U funasr_torch -i https://mirror.sjtu.edu.cn/pypi/web/simple
```

or install from source code

```shell
@@ -36,11 +39,13 @@
# pip install -e ./ -i https://mirror.sjtu.edu.cn/pypi/web/simple
```

## Run the demo.
## Run the demo

- Model_dir: the model path, which contains `model.torchscripts`, `config.yaml`, `am.mvn`.
- Input: wav formt file, support formats: `str, np.ndarray, List[str]`
- Output: `List[str]`: recognition result.
- Example:

     ```python
     from funasr_torch import Paraformer

@@ -55,7 +60,7 @@

## Performance benchmark

Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_libtorch.md)
Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/benchmark_libtorch.md)

## Speed

@@ -70,4 +75,5 @@
|   Onnx   |   0.038    |

## Acknowledge

This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).

 runtime/python/onnxruntime/README.md

@@ -180,7 +180,7 @@

## Performance benchmark

Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/docs/benchmark_onnx.md)
Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/runtime/docs/benchmark_onnx.md)

## Acknowledge