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