wav2vec2 random tiny classifier EU AI Act Compliance Profile
anton-l
Your risk depends on how you use wav2vec2 random tiny classifier
| 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
wav2vec2 random tiny classifier is a audio classification model by anton-l. Built with transformers. 4.8K downloads on HuggingFace.
Applicable Articles
Who does what
anton-l (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 wav2vec2 random tiny classifier's EU AI Act risk classification?
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wav2vec2 random tiny classifier is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy wav2vec2 random tiny classifier?
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As a wav2vec2 random tiny classifier deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is wav2vec2 random tiny classifier?
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wav2vec2 random tiny classifier is a Audio Classification model by anton-l. It has 4.8K downloads on HuggingFace.
What are the EU AI Act deadlines for wav2vec2 random tiny classifier?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
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