Update README.md
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README.md
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@@ -8,7 +8,7 @@ base_model:
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data process:
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Place the WAV and JSON files in `dev_data`.
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To distinguish the recognition performance of each part, prefix the file names of part1 with `fold-d-`, prefix the file names of part2 with `fold-a
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and prefix the file names of part3 with `fold-e-`.
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Download the pre-trained Sentence-BERT model and tokenizer from the following URL:
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@@ -31,7 +31,7 @@ pip install -r requirements.txt
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You can also use a mirror source to speed up the process.
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`pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple`
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- Run
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```bash
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sh qwen_audio_test.sh
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```
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data process:
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Place the WAV and JSON files in `dev_data`.
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+
To distinguish the recognition performance of each part, prefix the file names of part1 with `fold-d-`, prefix the file names of part2 with `fold-a-` `fold-b-` `fold-c-`,
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and prefix the file names of part3 with `fold-e-`.
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Download the pre-trained Sentence-BERT model and tokenizer from the following URL:
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You can also use a mirror source to speed up the process.
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`pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple`
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- Run Audio QA Inference Baseline
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```bash
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sh qwen_audio_test.sh
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```
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