OTel Embedding 335M EU AI Act Compliance Profile
farbodtavakkoli
Your risk depends on how you use OTel Embedding 335M
| 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 335M is a feature extraction model by farbodtavakkoli. Fine-tuned from BAAI/bge-large-en-v1.5. Supports en. Licensed under apache-2.0. 344K 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 335M's EU AI Act risk classification?
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OTel Embedding 335M is classified as MINIMAL under the EU AI Act. The model has 335M parameters.
What are my obligations if I deploy OTel Embedding 335M?
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As a OTel Embedding 335M deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.
What is OTel Embedding 335M?
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OTel Embedding 335M is a Feature Extraction model by farbodtavakkoli. It has 344K downloads on HuggingFace. Licensed under apache-2.0.
What are the EU AI Act deadlines for OTel Embedding 335M?
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Already passed: AI Literacy (Art. 4) — 2025-02-02.
Check OTel Embedding 335M compliance in your codebase
One command to scan. Open-source CLI.