游雁 d16e9d8248 output_dir = None		2 lat temu
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README.md	12a7adfdf3 update version 0.1.6	2 lat temu
finetune.py	12a7adfdf3 update version 0.1.6	2 lat temu
infer.py	d16e9d8248 output_dir = None	2 lat temu

ModelScope Model

How to finetune and infer using a pretrained Paraformer-large Model

Finetune

Modify finetune training related parameters in finetune.py
- output_dir: # result dir
- data_dir: # the dataset dir needs to include files: train/wav.scp, train/text; validation/wav.scp, validation/text.
- batch_bins: # batch size
- max_epoch: # number of training epoch
- lr: # learning rate
Then you can run the pipeline to finetune with:
```
python finetune.py
```

Inference

Or you can use the finetuned model for inference directly.

Setting parameters in infer.py
- audio_in: # support wav, url, bytes, and parsed audio format.
- output_dir: # If the input format is wav.scp, it needs to be set.
Then you can run the pipeline to infer with:
```
python infer.py
```