28 lines
873 B
Python
28 lines
873 B
Python
import sglang as sgl
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def main():
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# Sample prompts.
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prompts = [
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"Hello, my name is",
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"The president of the United States is",
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"The capital of France is",
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"The future of AI is",
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]
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# Create an LLM.
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llm = sgl.Engine(
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model_path="Alibaba-NLP/gte-Qwen2-1.5B-instruct", is_embedding=True
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)
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outputs = llm.encode(prompts)
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# Print the outputs (embedding vectors)
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for prompt, output in zip(prompts, outputs):
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print("===============================")
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print(f"Prompt: {prompt}\nEmbedding vector: {output['embedding']}")
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# The __main__ condition is necessary here because we use "spawn" to create subprocesses
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# Spawn starts a fresh program every time, if there is no __main__, it will run into infinite loop to keep spawning processes from sgl.Engine
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if __name__ == "__main__":
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main()
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