OTel Embedding 109M EU AI Act Compliance Profile
farbodtavakkoli
Your risk depends on how you use OTel Embedding 109M
| 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
OTel Embedding 109M is a feature extraction model by farbodtavakkoli. Fine-tuned from sentence-transformers/all-mpnet-base-v2. Supports en. Licensed under apache-2.0. 376.7K downloads on HuggingFace.
Applicable Articles
Who does what
farbodtavakkoli (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 OTel Embedding 109M's EU AI Act risk classification?
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OTel Embedding 109M is classified as MINIMAL under the EU AI Act. The model has 109M parameters.
What are my obligations if I deploy OTel Embedding 109M?
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As a OTel Embedding 109M deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is OTel Embedding 109M?
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OTel Embedding 109M is a Feature Extraction model by farbodtavakkoli. It has 376.7K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for OTel Embedding 109M?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check OTel Embedding 109M compliance in your codebase
One command to scan. Open-source CLI.