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[Misc] improve docs (#18734)
Signed-off-by: reidliu41 <reid201711@gmail.com> Co-authored-by: reidliu41 <reid201711@gmail.com>
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@ -15,6 +15,8 @@ prompts = [
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"What is annapurna labs?",
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]
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def main():
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# Create a sampling params object.
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sampling_params = SamplingParams(top_k=1, max_tokens=500, ignore_eos=True)
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@ -52,3 +54,7 @@ for output in outputs:
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prompt = output.prompt
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generated_text = output.outputs[0].text
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print(f"Prompt: {prompt!r}, \n\n\n\ Generated text: {generated_text!r}")
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if __name__ == "__main__":
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main()
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@ -6,14 +6,19 @@ This folder provides several example scripts on how to inference Qwen2.5-Omni of
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```bash
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# Audio + image + video
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python examples/offline_inference/qwen2_5_omni/only_thinker.py -q mixed_modalities
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python examples/offline_inference/qwen2_5_omni/only_thinker.py \
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-q mixed_modalities
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# Read vision and audio inputs from a single video file
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# NOTE: V1 engine does not support interleaved modalities yet.
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VLLM_USE_V1=0 python examples/offline_inference/qwen2_5_omni/only_thinker.py -q use_audio_in_video
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VLLM_USE_V1=0 \
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python examples/offline_inference/qwen2_5_omni/only_thinker.py \
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-q use_audio_in_video
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# Multiple audios
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VLLM_USE_V1=0 python examples/offline_inference/qwen2_5_omni/only_thinker.py -q multi_audios
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VLLM_USE_V1=0 \
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python examples/offline_inference/qwen2_5_omni/only_thinker.py \
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-q multi_audios
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```
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This script will run the thinker part of Qwen2.5-Omni, and generate text response.
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@ -22,11 +27,16 @@ You can also test Qwen2.5-Omni on a single modality:
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```bash
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# Process audio inputs
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python examples/offline_inference/audio_language.py --model-type qwen2_5_omni
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python examples/offline_inference/audio_language.py \
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--model-type qwen2_5_omni
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# Process image inputs
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python examples/offline_inference/vision_language.py --modality image --model-type qwen2_5_omni
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python examples/offline_inference/vision_language.py \
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--modality image \
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--model-type qwen2_5_omni
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# Process video inputs
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python examples/offline_inference/vision_language.py --modality video --model-type qwen2_5_omni
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python examples/offline_inference/vision_language.py \
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--modality video \
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--model-type qwen2_5_omni
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```
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