phobert base vietnamese sentiment EU AI Act Compliance Profile
wonrax
Your risk depends on how you use phobert base vietnamese sentiment
| 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
phobert base vietnamese sentiment is a text classification model by wonrax. Built with transformers. Supports vi. Licensed under mit. 37.8K downloads on HuggingFace.
Applicable Articles
Who does what
wonrax (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. If used for profiling or automated decision-making affecting individuals, additional GDPR Art. 22 obligations apply.
Similar Models
Frequently Asked Questions
What is phobert base vietnamese sentiment's EU AI Act risk classification?
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phobert base vietnamese sentiment is classified as LIMITED RISK under the EU AI Act.
What are my obligations if I deploy phobert base vietnamese sentiment?
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As a phobert base vietnamese sentiment deployer, you have 2 base obligations (~12 hours estimated effort). Key articles: Art. 4, Art. 50.
What is phobert base vietnamese sentiment?
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phobert base vietnamese sentiment is a Text Classification model by wonrax. It has 37.8K downloads on HuggingFace. Licensed under mit.
What are the EU AI Act deadlines for phobert base vietnamese sentiment?
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Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02.
Check phobert base vietnamese sentiment compliance in your codebase
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