Customer_emotion_recognizer

Meteoritehu/Customer_emotion_recognizer

PublisherMeteoritehu

Download access requirementsModelScope source

简介：随着互联网的不断发展，公司急需获取用户对其产品的反馈。然而，人类语言常常涉及讽刺、反语等复杂现象，这使得准确把握用户情感变得困难。该模型的设计目标是在尽可能有效地解读客户反馈的基础上，准确识别客户的情感。随着对用户见解的需求不断增加，该模型旨在通过处理语言的复杂性，提供对客户情感的细致理解，以弥补这一差距。 ubuntu22.04-cuda12.1.0-py310-torch2.1.2-tf2.14.0-1.11.0

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Model details

模型介绍

中文整理

模型介绍

名称：用户情感识别器

实验环境：

8核 32GB 显存24G

ubuntu22.04-cuda12.1.0-py310-torch2.1.2-tf2.14.0-1.11.0

训练方法：

数据集：jd-sentiment-zh

微调的模型：qwen-1 8b

超参数：sft type='lora', train dataset sample=2000

示例代码

推理效果

优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。

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使用前须知

运行环境

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Customer_emotion_recognizer model download

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查看原作者说明与许可 →

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