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tf xlm roberta base EU AI Act Compliance Profile
jplu
Fill Masktransformers
① Risk Classification
MINIMAL
Voluntary
Minimal Risk AI System
② Model Info
PipelineFill Mask
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 tf xlm roberta base
| 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
tf xlm roberta base is a masked language modeling model by jplu. Built with transformers. 9K downloads on HuggingFace.
Applicable Articles
Who does what
jplu (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.
Similar Models
Frequently Asked Questions
What is tf xlm roberta base's EU AI Act risk classification?
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tf xlm roberta base is classified as MINIMAL under the EU AI Act.
What are my obligations if I deploy tf xlm roberta base?
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As a tf xlm roberta base deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is tf xlm roberta base?
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tf xlm roberta base is a Fill Mask model by jplu. It has 9K downloads on HuggingFace.
What are the EU AI Act deadlines for tf xlm roberta base?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check tf xlm roberta base compliance in your codebase
One command to scan. Open-source CLI.
$ npx complior scan