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tiny random mt5 (HF) EU AI Act Compliance Profile
lewtun
Feature Extractiontransformers
① Risk Classification
MINIMAL
Voluntary
Minimal Risk AI System
② Model Info
PipelineFeature Extraction
Librarytransformers
CreatedSep 2022
SyncedApr 3, 2026
④ Obligations
1apply
~8h effort
□ AI Literacy (Art. 4)
$ npx complior scan
Your risk depends on how you use tiny random mt5 (HF)
| 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
tiny random mt5 (HF) is a feature extraction model by lewtun. Built with transformers. 4.4K downloads on HuggingFace.
Applicable Articles
Who does what
lewtun (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 tiny random mt5 (HF)'s EU AI Act risk classification?
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tiny random mt5 (HF) is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy tiny random mt5 (HF)?
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As a tiny random mt5 (HF) deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is tiny random mt5 (HF)?
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tiny random mt5 (HF) is a Feature Extraction model by lewtun. It has 4.4K downloads on HuggingFace.
What are the EU AI Act deadlines for tiny random mt5 (HF)?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check tiny random mt5 (HF) compliance in your codebase
One command to scan. Open-source CLI.
$ npx complior scan