wav2vec2 xlsr 1b finnish lm v2 EU AI Act Compliance Profile
Finnish-NLP
Your risk depends on how you use wav2vec2 xlsr 1b finnish lm v2
| 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 LIMITED RISK
wav2vec2 xlsr 1b finnish lm v2 is a speech recognition model by Finnish-NLP. It has 1 billion parameters. Built with transformers. Supports fi. Licensed under apache-2.0. 5.6K downloads on HuggingFace.
Applicable Articles
Who does what
Finnish-NLP (provider)Their job
- Provider obligations being compiled
You (deployer)Your job
- •AI Literacy (Art. 4) (Art. 4)
- •AI Disclosure (Art. 50) (Art. 50)
Risk Assessment Reasoning
This model is classified as Limited Risk under the EU AI Act. Deployers must comply with transparency obligations (Art. 50), ensuring users are informed they are interacting with an AI system. AI literacy training (Art. 4) is also required. Speech recognition processing of biometric data may trigger additional obligations under GDPR Art. 9.
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Frequently Asked Questions
What is wav2vec2 xlsr 1b finnish lm v2's EU AI Act risk classification?
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wav2vec2 xlsr 1b finnish lm v2 is classified as LIMITED RISK under the EU AI Act. The model has 1B parameters.
What are my obligations if I deploy wav2vec2 xlsr 1b finnish lm v2?
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As a wav2vec2 xlsr 1b finnish lm v2 deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is wav2vec2 xlsr 1b finnish lm v2?
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wav2vec2 xlsr 1b finnish lm v2 is a Speech Recognition model by Finnish-NLP. It has 5.6K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for wav2vec2 xlsr 1b finnish lm v2?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
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