nlp_bert_relation-extraction_chinese-base-commerce

iic/nlp_bert_relation-extraction_chinese-base-commerce

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商品评价解析模型是在hfl/chinese-roberta-wwm-ext预训练模型的基础上，结合自研DIRECT模型，用10%商品评价解析数据集(训练集11.7w，验证集1.3w)训练出来的关系抽取模型。 DIRECT为达摩院自研模型，通过使用邻接表解决了实体嵌套问题，并优化了空间复杂度，此外通过“自适应多任务学习策略”提高了模型训练效果模型基于hfl/chinese-roberta-wwm-ext，在商品评价解析数据集上通过DIRECT模型架构fine-tune得到。

Text Processing

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Model details

模型介绍

中文整理

商品评价解析模型介绍

商品评价解析模型是在hfl/chinese-roberta-wwm-ext预训练模型的基础上，结合自研DIRECT模型，用10%商品评价解析数据集(训练集11.7w，验证集1.3w)训练出来的关系抽取模型。

DIRECT为达摩院自研模型，通过使用邻接表解决了实体嵌套问题，并优化了空间复杂度，此外通过“自适应多任务学习策略”提高了模型训练效果

模型描述

模型基于hfl/chinese-roberta-wwm-ext，在商品评价解析数据集上通过DIRECT模型架构fine-tune得到。

期望模型使用方式以及适用范围

你可以使用该模型，对商品评价领域的文本进行关系抽取。

输入自然语言文本数据，模型会给出形如（属性词-情感词-情感极性）的三元组列表，支持的情感极性类型关系包括：正向情感，负向情感，中性情感

如何使用

在安装完成ModelScope-lib之后即可使用

代码范例

模型局限性以及可能的偏差

模型训练数据有限，在特定行业数据上，效果可能存在一定偏差。

数据评估及结果

Micro-F1: 0.792

你将获得什么

完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件；指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖，请按作者说明配齐。

完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。

使用前须知

运行环境

运行模型需要的设备、工具与依赖，以原作者说明为准。

授权范围

是否允许商用、修改和分发，请查看模型许可证。

闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。

Problem with the information or download?

Pinned version · Multiple download options

nlp_bert_relation-extraction_chinese-base-commerce model download

Download the full repository or choose a version or file.

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Use the Hugging Face download tool to obtain iic/nlp_bert_relation-extraction_chinese-base-commerce. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

Pinned-version file information is being completed. Existing downloads remain available, or load the file manifest below.

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Pinned version: 8c79675113f03d0dd91007c0ae62e870a92150a2. Downloads files only; does not start the model.

Choose a download source

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python -m pip install --upgrade huggingface_hub

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Run the download command

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View the full download command

modelscope download --model "iic/nlp_bert_relation-extraction_chinese-base-commerce" --revision "8c79675113f03d0dd91007c0ae62e870a92150a2" --local_dir "./models/iic--nlp_bert_relation-extraction_chinese-base-commerce--ms-8c79675113f0"

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