NLP Cloud
NLP Cloud 为 NER、情感分析、分类、摘要、释义、语法和拼写校正、关键字和关键短语提取、聊天机器人、产品描述和广告生成、意图分类、文本生成、图像生成、博客文章生成、代码生成、问题回答、自动语音识别、机器翻译、语言检测、语义搜索、语义相似性、标记化、POS 标记、嵌入和依赖关系解析提供高性能的预训练或自定义模型。它已准备好投入生产，通过 REST API 提供服务。
此示例介绍了如何使用 LangChain 与 NLP Cloud 模型进行交互。
%pip install --upgrade --quiet nlpcloud
# get a token: https://docs.nlpcloud.com/#authentication
from getpass import getpass
NLPCLOUD_API_KEY = getpass()
········
import os
os.environ["NLPCLOUD_API_KEY"] = NLPCLOUD_API_KEY
from langchain.chains import LLMChain
from langchain_community.llms import NLPCloud
from langchain_core.prompts import PromptTemplate
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate.from_template(template)
llm = NLPCloud()
llm_chain = LLMChain(prompt=prompt, llm=llm)
question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"
llm_chain.run(question)
' Justin Bieber was born in 1994, so the team that won the Super Bowl that year was the San Francisco 49ers.'