text: HUGGINGFACE_API_KEYCreate the Petals instanceâ€‹You can specify different parameters such as the model name, max new tokens, temperature, etc.# this can take several minutes to download big files!llm = Petals(model_name="bigscience/bloom-petals")    Downloading:   1%|â–�                        | 40.8M/7.19G [00:24<15:44, 7.57MB/s]Create a Prompt Templateâ€‹We will create a prompt template for Question and Answer.template = """Question: {question}Answer: Let's think step by step."""prompt = PromptTemplate(template=template, input_variables=["question"])Initiate the LLMChainâ€‹llm_chain = LLMChain(prompt=prompt, llm=llm)Run the LLMChainâ€‹Provide a question and run the LLMChain.question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"llm_chain.run(question)PreviousOpenLMNextPipelineAIInstall petalsImportsSet the Environment API KeyCreate the Petals instanceCreate a Prompt TemplateInitiate the LLMChainRun the LLMChainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.