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tiny random ast (HF) EU AI Act Compliance Profile
Ericwang
Feature Extractiontransformers
① Risk Classification
MINIMAL
Voluntary
Minimal Risk AI System
② Model Info
PipelineFeature Extraction
Librarytransformers
CreatedDec 2022
SyncedApr 3, 2026
④ Obligations
1apply
~8h effort
□ AI Literacy (Art. 4)
$ npx complior scan
Your risk depends on how you use tiny random ast (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 MINIMAL
tiny random ast (HF) is a feature extraction model by Ericwang. Built with transformers. 4.2K downloads on HuggingFace.
Applicable Articles
Who does what
Ericwang (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 tiny random ast (HF)'s EU AI Act risk classification?
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tiny random ast (HF) is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy tiny random ast (HF)?
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As a tiny random ast (HF) deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is tiny random ast (HF)?
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tiny random ast (HF) is a Feature Extraction model by Ericwang. It has 4.2K downloads on HuggingFace.
What are the EU AI Act deadlines for tiny random ast (HF)?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check tiny random ast (HF) compliance in your codebase
One command to scan. Open-source CLI.
$ npx complior scan