mmBERT-base EU AI Act Compliance Profile
jhu-clsp
Your risk depends on how you use mmBERT-base
| 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 LIMITED RISK
mmBERT-base is a masked language modeling model by jhu-clsp. Built with transformers. Supports aai, aak, aau, aaz, aba. Licensed under mit. 317.8K downloads on HuggingFace.
Applicable Articles
Who does what
jhu-clsp (provider)Their job
- Provider obligations being compiled
You (deployer)Your job
- •AI Literacy (Art. 4) (Art. 4)
- •AI Disclosure (Art. 50) (Art. 50)
Risk Assessment Reasoning
The mmBERT-base model is a language processing tool that can be used for various applications, but it does not pose significant risks to fundamental rights or safety. Its use is generally limited to research and development contexts, which aligns it with lower risk categories under the EU AI Act.
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Frequently Asked Questions
What is mmBERT-base's EU AI Act risk classification?
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mmBERT-base is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy mmBERT-base?
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As a mmBERT-base deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is mmBERT-base?
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mmBERT-base is a Fill Mask model by jhu-clsp. It has 317.8K downloads on HuggingFace. Licensed under mit.
What are the EU AI Act deadlines for mmBERT-base?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
Check mmBERT-base compliance in your codebase
One command to scan. Open-source CLI.