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43 lines
1.9 KiB
Markdown
43 lines
1.9 KiB
Markdown
English | [简体中文](README_CN.md)
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# Universal Information Extraction UIE Model Deployment
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## Introduction to the Model Version
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- [PaddleNLP Universal Information Extraction（UIE）](https://github.com/PaddlePaddle/PaddleNLP/tree/release/2.4/model_zoo/uie)
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## A List of Supported Models
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| Model | Structure | Language |
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| :---: | :--------: | :--------: |
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| `uie-base`| 12-layers, 768-hidden, 12-heads | Chinese |
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| `uie-medium`| 6-layers, 768-hidden, 12-heads | Chinese |
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| `uie-mini`| 6-layers, 384-hidden, 12-heads | Chinese |
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| `uie-micro`| 4-layers, 384-hidden, 12-heads | Chinese |
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| `uie-nano`| 4-layers, 312-hidden, 12-heads | Chinese |
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## Export Deployment Models
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Before deployment, you need to export the UIE model into the deployment model. Please refer to [Export Model](https://github.com/PaddlePaddle/PaddleNLP/tree/release/2.4/model_zoo/uie#47-%E6%A8%A1%E5%9E%8B%E9%83%A8%E7%BD%B2)
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## Download Pre-trained Models
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Models exported by UIE are provided below for developers' testing. Developers can directly download them.
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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.
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| Model | Parameter Size | F1 Value|
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|:---------------------------------------------------------------- |:----- |:----- |
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|[uie-base](https://bj.bcebos.com/fastdeploy/models/uie/uie-base.tgz)| 416M | 78.33 |
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|[uie-medium](https://bj.bcebos.com/fastdeploy/models/uie/uie-medium.tgz)| 265M | 78.32 |
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|[uie-mini](https://bj.bcebos.com/fastdeploy/models/uie/uie-mini.tgz)| 95M | 72.09 |
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|[uie-micro](https://bj.bcebos.com/fastdeploy/models/uie/uie-micro.tgz)| 83M | 66.00 |
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|[uie-nano](https://bj.bcebos.com/fastdeploy/models/uie/uie-nano.tgz)| 64M | 62.86 |
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## Detailed Deployment Documents
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- [Python Deployment](python)
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- [C++ Deployment](cpp)
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- [Serve Deployment](serving)
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