What is SunflowerASR-51-african-languages?

44/100
Trust Score (E)
⚠️ Use Caution

SunflowerASR-51-african-languages is a automatic-speech-recognition that An AI model. It has a Nerq Trust Score of 44/100 (E). 23 GitHub stars. Published by Unknown. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

44
TRUST SCORE
E
GRADE
23
STARS
10.1K
DOWNLOADS

What SunflowerASR-51-african-languages Does

SunflowerASR-51-african-languages is a model in the automatic-speech-recognition category. An AI model. It is published by an independent developer and has no specified license. With 23 GitHub stars and 10.1K downloads, it has a small community of users and contributors.

Who Should Use SunflowerASR-51-african-languages

SunflowerASR-51-african-languages is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorUnknown
Categoryautomatic-speech-recognition
LicenseNot specified
Typemodel
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=sunbird-sunflowerasr-51-african-languages

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

ToolTrustStars
Audio8-ASR-Infinite471.6K
cohere-transcribe-03-2026481.1K
nemotron-3.5-asr-streaming-0.6b46900
NVIDIA-Nemotron-3.5-Transcribe-30B-A4B46743
CrisperWhisper46336

Frequently Asked Questions

What is SunflowerASR-51-african-languages used for?
SunflowerASR-51-african-languages is a automatic-speech-recognition tool. An AI model.
Is SunflowerASR-51-african-languages free?
License: Check project page. SunflowerASR-51-african-languages has 23 GitHub stars.
Is SunflowerASR-51-african-languages safe?
SunflowerASR-51-african-languages has a Nerq Trust Score of 44/100 (E). Evaluate carefully.
What are alternatives to SunflowerASR-51-african-languages?
Top alternatives: Audio8-ASR-Infinite, cohere-transcribe-03-2026, nemotron-3.5-asr-streaming-0.6b. See full comparison.

Last updated November 2026. Trust scores based on automated analysis of public data.

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