uie

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Universal Information Extraction UIE Model Deployment

Introduction to the Model Version

• PaddleNLP Universal Information Extraction（UIE）

A List of Supported Models

Model	Structure	Language
uie-base	12-layers, 768-hidden, 12-heads	Chinese
uie-medium	6-layers, 768-hidden, 12-heads	Chinese
uie-mini	6-layers, 384-hidden, 12-heads	Chinese
uie-micro	4-layers, 384-hidden, 12-heads	Chinese
uie-nano	4-layers, 312-hidden, 12-heads	Chinese

Export Deployment Models

Before deployment, you need to export the UIE model into the deployment model. Please refer to Export Model.

Download Pre-trained Models

Models exported by UIE are provided below for developers' testing. Developers can directly download them.

The accuracy metric F1 is derived from the 0-shot experiments conducted in PaddleNLP on each model in the Internet self-built dataset. Please refer to instructions in PaddleNLP for more details.

Model	Parameter Size	F1 Value
uie-base	416M	78.33
uie-medium	265M	78.32
uie-mini	95M	72.09
uie-micro	83M	66.00
uie-nano	64M	62.86

Detailed Deployment Documents

• Python Deployment
• C++ Deployment
• Serve Deployment