Now encode_kwargs used for both for documents and queries and this leads to wrong embeddings. E. g.: model_kwargs = {"device": "cuda", "trust_remote_code": True} encode_kwargs = {"normalize_embeddings": False, "
3. Integrate with LangChain LangChain’sLLMwrappers make it easy to interface with local models. Use theHuggingFacePipelineintegration: fromlangchain.llmsimportHuggingFacePipelinefromtransformersimportpipeline# Create a text generation pipelinetext_gen_pipeline = pipeline("text-generation", model=model, tok...
HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. Some of its functions can be considered as a low-code version of Langchain. Currently, it does not support model training scenarios, but this will be developed and supplemented in the future...
from pydantic import BaseModel from typing import List from dotenv import load_dotenv from browser_use import Agent, Controller from langchain_openai import ChatOpenAI import asyncio # Define the output format as a Pydantic model class Post(BaseModel): post_title: str post_url: str class Posts...
如果使用其他 LLM,需要参考 LangChain 文档或对应服务提供的说明进行配置。 四、基础配置 1. Agent 1.1. Agent 参数 1.2. Agent 执行流程图 2. Browser 配置 Browser-use 提供两个主要配置类: BrowserConfig:控制浏览器整体行为 BrowserContextConfig:控制单个上下文(浏览器标签页/会话)的行为 ...
llm BaseChatModel (LangChain Model) 无 主语言模型,执行对话和工具调用。(必传) controller Controller 实例 默认Controller 自定义函数/工具调用的注册表 use_vision bool True 是否启用视觉能力(截图+分析)。如模型支持图像输入,可显著提高网页理解;也会产生额外 token 成本。Deepseek 需要设置为 False save_conve...
HuggingFace镜像。 TABLESTORE_ACCESS_KEY_ID阿里云账号或RAM用户的AccessKey ID。 TABLESTORE_ACCESS_KEY_SECRET 阿里云账号或RAM用户的AccessKeySecret。 TABLESTORE_ENDPOINT 表格实例的访问地址Endpoint如果您使用的是ECS,请根据地域选择访问地址: ECS与表格存储在同一地域:公网地址或者VPC地址。 ECS与表格存储不...
Deep Lake comes with built-in dataloaders for Pytorch and TensorFlow. Train your model with a few lines of code - we even take care of dataset shuffling. :) Integrations with Powerful Tools Deep Lake has integrations withLangchainandLLamaIndexas a vector store for LLM apps,Weights & Biasesfo...
hf=HuggingFacePipeline.from_model_id(model_id="microsoft/DialoGPT-medium",task="text-generation",pipeline_kwargs={"max_new_tokens":200,"pad_token_id":50256},)fromlangchain.promptsimportPromptTemplate template="""Question: {question} Answer: Let's think step by step."""prompt=PromptTemplate....
temperature=0.7)fromlangchain.chainsimportLLMChainfromlangchain.llmsimportHuggingFacePipeline llm=HuggingFacePipeline(pipeline=tg_pipe,model_kwargs={'temperature':0.7})llm_chain=LLMChain(llm=llm,prompt=prompt_template)no_context_response=llm_c...