| New file |
| | |
|---|
| | | ## Using paraformer with libtorch |
|---|
| | | |
|---|
| | | |
|---|
| | | ### Introduction |
|---|
| | | - Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary). |
|---|
| | | |
|---|
| | | ### 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)) |
|---|
| | | |
|---|
| | | - `e.g.`, Export model from modelscope |
|---|
| | | ```shell |
|---|
| | | python -m funasr.export.export_model 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" false |
|---|
| | | ``` |
|---|
| | | - `e.g.`, Export model from local path, the model'name must be `model.pb`. |
|---|
| | | ```shell |
|---|
| | | python -m funasr.export.export_model '/mnt/workspace/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' "./export" false |
|---|
| | | ``` |
|---|
| | | |
|---|
| | | |
|---|
| | | 2. Install the `torch_paraformer`. |
|---|
| | | ```shell |
|---|
| | | git clone https://github.com/alibaba/FunASR.git && cd FunASR |
|---|
| | | cd funasr/runtime/python/libtorch |
|---|
| | | python setup.py install |
|---|
| | | ``` |
|---|
| | | |
|---|
| | | |
|---|
| | | 3. 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 torch_paraformer import Paraformer |
|---|
| | | |
|---|
| | | model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" |
|---|
| | | model = Paraformer(model_dir, batch_size=1) |
|---|
| | | |
|---|
| | | wav_path = ['/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav'] |
|---|
| | | |
|---|
| | | result = model(wav_path) |
|---|
| | | print(result) |
|---|
| | | ``` |
|---|
| | | |
|---|
| | | ## Speed |
|---|
| | | |
|---|
| | | Environment：Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz |
|---|
| | | |
|---|
| | | Test [wav, 5.53s, 100 times avg.](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav) |
|---|
| | | |
|---|
| | | | Backend | RTF (FP32) | |
|---|
| | | |:--------:|:----------:| |
|---|
| | | | Pytorch | 0.110 | |
|---|
| | | | Libtorch | 0.048 | |
|---|
| | | | Onnx | 0.038 | |
|---|
| | | |
|---|
| | | ## Acknowledge |
|---|
