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docs(readme): update onnx example import path and cache location (#2607)

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The example code in README files was updated to use the correct import path for Paraformer from the runtime package instead of the top-level module. The wav path was also modified to use Path.home() for cross-platform compatibility and to include the missing 'models' directory in the cache path. These changes ensure the examples work correctly with the current package structure.
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Jeffrey Guan 2025-07-23 14:56:31 +08:00 committed by GitHub
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commit 8316fc4197
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2 changed files with 14 additions and 4 deletions
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9
README.md
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@ -315,11 +315,16 @@ res = model.export(quantize=False)
### Test ONNX
```python
# pip3 install -U funasr-onnx
from funasr_onnx import Paraformer
from pathlib import Path
from runtime.python.onnxruntime.funasr_onnx.paraformer_bin import Paraformer
home_dir = Path.home()
model_dir = "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1, quantize=True)
wav_path = ['~/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']
wav_path = [f"{home_dir}/.cache/modelscope/hub/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav"]
result = model(wav_path)
print(result)

9
README_zh.md
View File

@ -315,11 +315,16 @@ res = model.export(quantize=False)
### 测试ONNX
```python
# pip3 install -U funasr-onnx
from funasr_onnx import Paraformer
from pathlib import Path
from runtime.python.onnxruntime.funasr_onnx.paraformer_bin import Paraformer
home_dir = Path.home()
model_dir = "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
model = Paraformer(model_dir, batch_size=1, quantize=True)
wav_path = ['~/.cache/modelscope/hub/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']
wav_path = [f"{home_dir}/.cache/modelscope/hub/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav"]
result = model(wav_path)
print(result)