File size: 873 Bytes
61ba51e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | import sglang as sgl
def main():
# Sample prompts.
prompts = [
"Hello, my name is",
"The president of the United States is",
"The capital of France is",
"The future of AI is",
]
# Create an LLM.
llm = sgl.Engine(
model_path="Alibaba-NLP/gte-Qwen2-1.5B-instruct", is_embedding=True
)
outputs = llm.encode(prompts)
# Print the outputs (embedding vectors)
for prompt, output in zip(prompts, outputs):
print("===============================")
print(f"Prompt: {prompt}\nEmbedding vector: {output['embedding']}")
# The __main__ condition is necessary here because we use "spawn" to create subprocesses
# 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
if __name__ == "__main__":
main()
|