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ChemBERTa 77M MTR EU AI Act Compliance Profile

DeepChem

transformers
① Risk Classification
MINIMAL
Voluntary
Minimal Risk AI System
② Model Info
77Mparameters
Librarytransformers
CreatedMar 2022
SyncedApr 3, 2026
③ Popularity
131Kdownloads
23 likes
View on HuggingFace ↗
④ Obligations
1apply
~8h effort
□ AI Literacy (Art. 4)
$ npx complior scan

Your risk depends on how you use ChemBERTa 77M MTR

Usage ContextRisk LevelObligations
Internal coding toolMINIMAL3 obligations (~12h)
Customer support botLIMITED7 obligations (~32h)
HR screening / hiringHIGH19 obligations (~120h)
Credit decisionsHIGH19 obligations (~120h)
Medical triageHIGH19 obligations (~120h)

Why this tool is classified as MINIMAL

ChemBERTa 77M MTR is an AI model by DeepChem. Built with transformers. 131K downloads on HuggingFace.

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
›
Obligation under Art. 4 for ChemBERTa 77M MTR deployers.

Who does what

DeepChem (provider)Their job

  • Provider obligations being compiled

You (deployer)Your job

  • •AI Literacy (Art. 4) (Art. 4)
See full obligation checklist →

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 ChemBERTa 77M MTR's EU AI Act risk classification?

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ChemBERTa 77M MTR is classified as MINIMAL under the EU AI Act. The model has 77M parameters.

What are my obligations if I deploy ChemBERTa 77M MTR?

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As a ChemBERTa 77M MTR deployer, you have 1 base obligations (~8 hours estimated effort). Key articles: Art. 4.

What is ChemBERTa 77M MTR?

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ChemBERTa 77M MTR is a Unknown model by DeepChem. It has 131K downloads on HuggingFace.

What are the EU AI Act deadlines for ChemBERTa 77M MTR?

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Already passed: AI Literacy (Art. 4) — 2025-02-02.

Check ChemBERTa 77M MTR compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan