gzsgw_个人页

langchian是一个应用程序的框架，比如通过langchian调用Hugging Face 模型的一个示例如下：import torchfrom langchain import PromptTemplate, LLMChainfrom langchain.llms import HuggingFacePipelinefrom transformers import AutoTokenizer, AutoModelForCausalLM, pipeline, AutoModelForSeq2SeqLMfrom transformers.generation.utils import GenerationConfig model_id = 'baichuan-inc/Baichuan-13B-Chat'tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=False, trust_remote_code=True)model = AutoModelForCausalLM.from_pretrained(model_id, device_map='auto', torch_dtype=torch.float16, trust_remote_code=True) pipe = pipeline( 'text-generation', model=model, tokenizer=tokenizer, max_length=10000) local_llm = HuggingFacePipeline(pipeline=pipe)print(local_llm('What is the capital of France? ')) template = '''Question: {question} Answer: Let's think step by step.'''prompt = PromptTemplate(template=template, input_variables=['question']) llm_chain = LLMChain(prompt=prompt, llm=local_llm)question = 'What is the capital of England?'print(llm_chain.run(question)) 我想请教的是可以通过类似的方式运行model scope中的模型吗？