xlm roberta base indonesian NER EU AI Act Compliance Profile
cahya
Your risk depends on how you use xlm roberta base indonesian NER
| 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
xlm roberta base indonesian NER is a token classification model by cahya. Built with transformers. 7.5K downloads on HuggingFace.
Applicable Articles
Who does what
cahya (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 xlm roberta base indonesian NER's EU AI Act risk classification?
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xlm roberta base indonesian NER is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy xlm roberta base indonesian NER?
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As a xlm roberta base indonesian NER deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is xlm roberta base indonesian NER?
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xlm roberta base indonesian NER is a Token Classification model by cahya. It has 7.5K downloads on HuggingFace.
What are the EU AI Act deadlines for xlm roberta base indonesian NER?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
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