MosaicML

MosaicML 提供托管的推理服务。您可以使用各种开源模型，或者部署您自己的模型。

本示例介绍了如何使用LangChain与MosaicML Inference进行文本补全的交互。

# sign up for an account: https://forms.mosaicml.com/demo?utm_source=langchain

from getpass import getpass

MOSAICML_API_TOKEN = getpass()

import os

os.environ["MOSAICML_API_TOKEN"] = MOSAICML_API_TOKEN

from langchain.chains import LLMChain
from langchain_community.llms import MosaicML
from langchain_core.prompts import PromptTemplate

template = """Question: {question}"""

prompt = PromptTemplate.from_template(template)

llm = MosaicML(inject_instruction_format=True, model_kwargs={"max_new_tokens": 128})

llm_chain = LLMChain(prompt=prompt, llm=llm)

question = "What is one good reason why you should train a large language model on domain specific data?"

llm_chain.run(question)

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