tiny random t5 (HF) EU AI Act Compliance Profile
echarlaix
Your risk depends on how you use tiny random t5 (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 t5 (HF) is a feature extraction model by echarlaix. Built with transformers. Licensed under apache-2.0. 8.8K downloads on HuggingFace.
Applicable Articles
Who does what
echarlaix (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 t5 (HF)'s EU AI Act risk classification?
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tiny random t5 (HF) is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy tiny random t5 (HF)?
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As a tiny random t5 (HF) deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is tiny random t5 (HF)?
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tiny random t5 (HF) is a Feature Extraction model by echarlaix. It has 8.8K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for tiny random t5 (HF)?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check tiny random t5 (HF) compliance in your codebase
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