E
ernie 3.0 base zh EU AI Act Compliance Profile
nghuyong
Fill Masktransformers
① Risk Classification
MINIMAL
Voluntary
Minimal Risk AI System
② Model Info
PipelineFill Mask
Librarytransformers
Languageszh
CreatedAug 2022
SyncedApr 3, 2026
④ Obligations
1apply
~8h effort
□ AI Literacy (Art. 4)
$ npx complior scan
Your risk depends on how you use ernie 3.0 base zh
| Usage Context | Risk Level | Obligations |
|---|---|---|
| Internal coding tool | MINIMAL | 3 obligations (~12h) |
| Customer support bot | LIMITED | 7 obligations (~32h) |
| HR screening / hiring | HIGH | 19 obligations (~120h) |
| Credit decisions | HIGH | 19 obligations (~120h) |
| Medical triage | HIGH | 19 obligations (~120h) |
Why this tool is classified as MINIMAL
ernie 3.0 base zh is a masked language modeling model by nghuyong. Built with transformers. Supports zh. 3.8K downloads on HuggingFace.
Applicable Articles
Who does what
nghuyong (provider)Their job
- Provider obligations being compiled
Risk Assessment Reasoning
This model is classified as Minimal Risk under the EU AI Act. No mandatory compliance obligations apply, but voluntary codes of practice are encouraged. AI literacy training (Art. 4) is recommended for all deployers.
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Frequently Asked Questions
What is ernie 3.0 base zh's EU AI Act risk classification?
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ernie 3.0 base zh is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy ernie 3.0 base zh?
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As a ernie 3.0 base zh deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is ernie 3.0 base zh?
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ernie 3.0 base zh is a Fill Mask model by nghuyong. It has 3.8K downloads on HuggingFace.
What are the EU AI Act deadlines for ernie 3.0 base zh?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check ernie 3.0 base zh compliance in your codebase
One command to scan. Open-source CLI.
$ npx complior scan