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README.md

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