Langchain调用Ollama部署的腾讯翻译大模型hy-mt2
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from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_ollama import ChatOllama
if __name__ == "__main__":
llm = ChatOllama(model="maternion/hy-mt2:1.8b")
template = ChatPromptTemplate.from_template("""
翻译任务:
- 源语言:{srcLanguage}
- 目标语言:{targetLanguage}
- 文本领域:{domain}
- 翻译风格:{style}
待翻译内容:
{text}
""")
parser = StrOutputParser()
chain = template | llm | parser
result = chain.invoke(input={"srcLanguage": "韩文", "targetLanguage": "简体中文",
"domain": "计算机行业", "style": "正式专业",
"text": "API 통신 Logging 파일"})
print(result)
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