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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.