64 lines
1.9 KiB
Markdown
64 lines
1.9 KiB
Markdown
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# Offline Example of vLLM-omni for Qwen2.5-omni
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Source <https://github.com/vllm-project/vllm-omni/tree/main/examples\offline_inference\qwen2_5_omni>.
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## 🛠️ Installation
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Please refer to [README.md](https://github.com/vllm-project/vllm-omni/tree/main/README.md)
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## Run examples (Qwen2.5-omni)
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### Multiple Prompts
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Download dataset from [seed_tts](https://drive.google.com/file/d/1GlSjVfSHkW3-leKKBlfrjuuTGqQ_xaLP/edit). To get the prompt, you can:
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```bash
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tar -xf <Your Download Path>/seedtts_testset.tar
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cp seedtts_testset/en/meta.lst examples/offline_inference/qwen2_5_omni/meta.lst
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python3 examples/offline_inference/qwen2_5_omni/extract_prompts.py \
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--input examples/offline_inference/qwen2_5_omni/meta.lst \
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--output examples/offline_inference/qwen2_5_omni/top100.txt \
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--topk 100
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```
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Get into the example folder
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```bash
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cd examples/offline_inference/qwen2_5_omni
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```
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Then run the command below.
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```bash
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bash run_multiple_prompts.sh
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```
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### Single Prompts
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Get into the example folder
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```bash
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cd examples/offline_inference/qwen2_5_omni
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```
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Then run the command below.
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```bash
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bash run_single_prompt.sh
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```
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## Example materials
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??? abstract "end2end.py"
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``````py
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--8<-- "examples\offline_inference\qwen2_5_omni\end2end.py"
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``````
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??? abstract "extract_prompts.py"
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``````py
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--8<-- "examples\offline_inference\qwen2_5_omni\extract_prompts.py"
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``````
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??? abstract "processing_omni.py"
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``````py
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--8<-- "examples\offline_inference\qwen2_5_omni\processing_omni.py"
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``````
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??? abstract "run_multiple_prompts.sh"
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``````sh
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--8<-- "examples\offline_inference\qwen2_5_omni\run_multiple_prompts.sh"
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``````
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??? abstract "run_single_prompt.sh"
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``````sh
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--8<-- "examples\offline_inference\qwen2_5_omni\run_single_prompt.sh"
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``````
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??? abstract "utils.py"
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``````py
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--8<-- "examples\offline_inference\qwen2_5_omni\utils.py"
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``````
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