encoder e5 small v2 wikipedia relations EU AI Act Compliance Profile
relik-ie
Your risk depends on how you use encoder e5 small v2 wikipedia relations
| 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
encoder e5 small v2 wikipedia relations is a feature extraction model by relik-ie. Built with transformers. 4.6K downloads on HuggingFace.
Applicable Articles
Who does what
relik-ie (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 encoder e5 small v2 wikipedia relations's EU AI Act risk classification?
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encoder e5 small v2 wikipedia relations is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy encoder e5 small v2 wikipedia relations?
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As a encoder e5 small v2 wikipedia relations deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is encoder e5 small v2 wikipedia relations?
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encoder e5 small v2 wikipedia relations is a Feature Extraction model by relik-ie. It has 4.6K downloads on HuggingFace.
What are the EU AI Act deadlines for encoder e5 small v2 wikipedia relations?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
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