distilbert base uncased mnli (HF) EU AI Act Compliance Profile
Xenova
Your risk depends on how you use distilbert base uncased mnli (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 LIMITED RISK
distilbert base uncased mnli (HF) is a zero-shot classification model by Xenova. Fine-tuned from typeform/distilbert-base-uncased-mnli. Built with transformers.js. 9.1K downloads on HuggingFace.
Applicable Articles
Who does what
Xenova (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. Zero-shot classifiers used for content moderation or individual assessment may require transparency disclosure.
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Frequently Asked Questions
What is distilbert base uncased mnli (HF)'s EU AI Act risk classification?
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distilbert base uncased mnli (HF) is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy distilbert base uncased mnli (HF)?
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As a distilbert base uncased mnli (HF) deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is distilbert base uncased mnli (HF)?
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distilbert base uncased mnli (HF) is a Zero-Shot Classification model by Xenova. It has 9.1K downloads on HuggingFace.
What are the EU AI Act deadlines for distilbert base uncased mnli (HF)?
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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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