ernie-3.0

简体中文| English

ERNIE 3.0 Model Deployment

Model Description

• PaddleNLP ERNIE 3.0 Model Description

A list of Supported Models

Model	Structure	Language
ERNIE 3.0-Base	12-layers, 768-hidden, 12-heads	Chinese
ERNIE 3.0-Medium	6-layers, 768-hidden, 12-heads	Chinese
ERNIE 3.0-Mini	6-layers, 384-hidden, 12-heads	Chinese
ERNIE 3.0-Micro	4-layers, 384-hidden, 12-heads	Chinese
ERNIE 3.0-Nano	4-layers, 312-hidden, 12-heads	Chinese

A list of Supported NLP Tasks

Task	Yes or No
text classification	✅
sequence labeling	❌

Export Deployment Models

Before deployment, it is required to export trained ERNIE models into deployment models. The export steps can be found in the document Export Model.

Download Fine-tuning Models

Classification Task

For developers' testing, the fine-tuned ERNIE 3.0-Medium Model on text classification AFQMC dataset is provided below. Developers can download it directly.

• ERNIE 3.0 Medium AFQMC

Detailed Deployment Documents

• Python Deployment
• C++ Deployment
• Serving Deployment