Audio model

Cohere Transcribe Arabic

Cohere Transcribe Arabic is a 2B parameter conformer based encoder decoder automatic speech recognition model that transcribes Arabic and English audio into text. It achieves strong accuracy across Arabic dialect benchmarks including SADA, Common Voice, MASC, MGB2, and Casablanca, outperforming several larger open ASR models.

Cohere Audio Open weights apache-2.0 Gated
Type
Audio
Weights
Open
Downloads
44k
Likes
190
Pipeline
automatic speech recognition
License
apache-2.0

Model hub

CohereLabs/cohere-transcribe-arabic-07-2026

Repo
CohereLabs/cohere-transcribe-arabic-07-2026
Library
transformers
Access
Gated
Technical tags and languages
ar en transformers safetensors cohere_asr automatic-speech-recognition audio speech-recognition transcription arabic asr arabic-asr arabic-dialect arabic-speech-recognition
Open on Hugging Face

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About Cohere

1

Cohere develops security-focused foundation models and enterprise AI products that can run in cloud, private-cloud, and on-premises environments.