04 2024 档案
摘要：import json from langchain.llms.base import LLM from transformers import AutoTokenizer, AutoModel, AutoConfig from typing import List, Optional class
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摘要：from langchain.chains import APIChain from langchain_community.llms.ollama import Ollama llm = Ollama(model="qwen:7b") api_docs = """ BASE URL: https:
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摘要：import os from langchain.chains import RetrievalQA from langchain_community.document_loaders import TextLoader from langchain_community.embeddings imp
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摘要：from langchain.chains import RetrievalQA from langchain.evaluation import QAEvalChain from langchain_community.document_loaders import TextLoader from
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摘要：from langchain.chains import RetrievalQA from langchain_community.document_loaders import TextLoader from langchain_community.embeddings import Ollama
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摘要：from langchain.chains import load_summarize_chain from langchain_community.document_loaders import TextLoader #文本加载器 from langchain_community.llms.oll
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摘要：from langchain.chains import LLMChain, SimpleSequentialChain #简单序列链 from langchain_community.llms.ollama import Ollama from langchain_core.prompts imp
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摘要：from langchain.output_parsers import ResponseSchema, StructuredOutputParser from langchain_community.llms.ollama import Ollama from langchain_core.pro
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摘要：from langchain_community.embeddings import OllamaEmbeddings from langchain_community.llms.ollama import Ollama from langchain_community.vectorstores.f
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摘要：from langchain_community.llms.ollama import Ollama from langchain_core.prompts import ChatPromptTemplate, PromptTemplate llm = Ollama(model="qwen:7b")
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摘要：from transformers import AutoTokenizer, AutoModel modelPath = "/home/cmcc/server/model/chatglm3-6b" tokenizer = AutoTokenizer.from_pretrained(modelPat
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