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fix expired link in python onnxruntime readme (#1013)
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Meng Wei
GitHub
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@ -1,9 +1,9 @@
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# ONNXRuntime-python
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## Install `funasr-onnx`
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install from pip
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```shell
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pip install -U funasr-onnx
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# For the users in China, you could install with the command:
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@ -27,7 +27,9 @@ pip install -e ./
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## Inference with runtime
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### Speech Recognition
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#### Paraformer
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```python
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from funasr_onnx import Paraformer
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from pathlib import Path
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@ -40,6 +42,7 @@ wav_path = ['{}/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn
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result = model(wav_path)
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print(result)
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```
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- `model_dir`: model_name in modelscope or local path downloaded from modelscope. If the local path is set, it should contain `model.onnx`, `config.yaml`, `am.mvn`
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- `batch_size`: `1` (Default), the batch size duration inference
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- `device_id`: `-1` (Default), infer on CPU. If you want to infer with GPU, set it to gpu_id (Please make sure that you have install the onnxruntime-gpu)
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@ -53,7 +56,9 @@ Output: `List[str]`: recognition result
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#### Paraformer-online
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### Voice Activity Detection
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#### FSMN-VAD
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```python
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from funasr_onnx import Fsmn_vad
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from pathlib import Path
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@ -66,6 +71,7 @@ model = Fsmn_vad(model_dir)
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result = model(wav_path)
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print(result)
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```
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- `model_dir`: model_name in modelscope or local path downloaded from modelscope. If the local path is set, it should contain `model.onnx`, `config.yaml`, `am.mvn`
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- `batch_size`: `1` (Default), the batch size duration inference
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- `device_id`: `-1` (Default), infer on CPU. If you want to infer with GPU, set it to gpu_id (Please make sure that you have install the onnxruntime-gpu)
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@ -76,8 +82,8 @@ Input: wav formt file, support formats: `str, np.ndarray, List[str]`
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Output: `List[str]`: recognition result
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#### FSMN-VAD-online
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```python
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from funasr_onnx import Fsmn_vad_online
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import soundfile
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@ -108,6 +114,7 @@ for sample_offset in range(0, speech_length, min(step, speech_length - sample_of
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if segments_result:
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print(segments_result)
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```
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- `model_dir`: model_name in modelscope or local path downloaded from modelscope. If the local path is set, it should contain `model.onnx`, `config.yaml`, `am.mvn`
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- `batch_size`: `1` (Default), the batch size duration inference
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- `device_id`: `-1` (Default), infer on CPU. If you want to infer with GPU, set it to gpu_id (Please make sure that you have install the onnxruntime-gpu)
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@ -118,9 +125,10 @@ Input: wav formt file, support formats: `str, np.ndarray, List[str]`
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Output: `List[str]`: recognition result
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### Punctuation Restoration
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#### CT-Transformer
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```python
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from funasr_onnx import CT_Transformer
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@ -131,6 +139,7 @@ text_in="跨境河流是养育沿岸人民的生命之源长期以来为帮助
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result = model(text_in)
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print(result[0])
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```
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- `model_dir`: model_name in modelscope or local path downloaded from modelscope. If the local path is set, it should contain `model.onnx`, `config.yaml`, `am.mvn`
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- `device_id`: `-1` (Default), infer on CPU. If you want to infer with GPU, set it to gpu_id (Please make sure that you have install the onnxruntime-gpu)
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- `quantize`: `False` (Default), load the model of `model.onnx` in `model_dir`. If set `True`, load the model of `model_quant.onnx` in `model_dir`
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@ -140,8 +149,8 @@ Input: `str`, raw text of asr result
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Output: `List[str]`: recognition result
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#### CT-Transformer-online
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```python
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from funasr_onnx import CT_Transformer_VadRealtime
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@ -159,6 +168,7 @@ for vad in vads:
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print(rec_result_all)
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```
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- `model_dir`: model_name in modelscope or local path downloaded from modelscope. If the local path is set, it should contain `model.onnx`, `config.yaml`, `am.mvn`
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- `device_id`: `-1` (Default), infer on CPU. If you want to infer with GPU, set it to gpu_id (Please make sure that you have install the onnxruntime-gpu)
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- `quantize`: `False` (Default), load the model of `model.onnx` in `model_dir`. If set `True`, load the model of `model_quant.onnx` in `model_dir`
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@ -170,8 +180,9 @@ Output: `List[str]`: recognition result
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## Performance benchmark
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Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_onnx.md)
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Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/docs/benchmark_onnx.md)
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## Acknowledge
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1. This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR).
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2. We partially refer [SWHL](https://github.com/RapidAI/RapidASR) for onnxruntime (only for paraformer model).
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