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sup simcse roberta large EU AI Act Compliance Profile
princeton-nlp
Feature Extractiontransformers
① Risk Classification
MINIMAL
Voluntary
Minimal Risk AI System
② Model Info
PipelineFeature Extraction
Librarytransformers
CreatedMar 2022
SyncedApr 3, 2026
④ Obligations
1apply
~8h effort
□ AI Literacy (Art. 4)
$ npx complior scan
Your risk depends on how you use sup simcse roberta large
| 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
sup simcse roberta large is a feature extraction model by princeton-nlp. Built with transformers. 13.5K downloads on HuggingFace.
Applicable Articles
Who does what
princeton-nlp (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 sup simcse roberta large's EU AI Act risk classification?
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sup simcse roberta large is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy sup simcse roberta large?
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As a sup simcse roberta large deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is sup simcse roberta large?
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sup simcse roberta large is a Feature Extraction model by princeton-nlp. It has 13.5K downloads on HuggingFace.
What are the EU AI Act deadlines for sup simcse roberta large?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check sup simcse roberta large compliance in your codebase
One command to scan. Open-source CLI.
$ npx complior scan