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简体中文| English

ERNIE 3.0 Model Deployment

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.

Detailed Deployment Documents