OPEN_SOURCE ↗
REDDIT · REDDIT// 16d agoMODEL RELEASE
Cohere Labs drops 2B ASR model
Cohere Labs released Cohere Transcribe, an open-source 2B-parameter speech-to-text model on Hugging Face that supports 14 languages. It uses a Conformer encoder and Transformer decoder, and it is aimed at offline transcription and production serving via transformers or vLLM.
// ANALYSIS
My read: Cohere is treating ASR like serious infrastructure, not a demo feature. The release is strong on accuracy and deployment ergonomics, but it still leaves common transcript workflows to external tooling.
- –Cohere claims best-in-class transcription accuracy and up to 3x faster real-time factor than other dedicated ASR models in the same size range.
- –The model supports 14 languages, but it does not auto-detect language and performs poorly on code-switched audio.
- –It also ships without timestamps or speaker diarization, so meeting and call analytics stacks will still need extra layers.
- –The repo is Apache 2.0, but Hugging Face adds a small friction point because users must accept contact-info sharing before downloading.
// TAGS
cohere-transcribespeechopen-sourceinferencebenchmark
DISCOVERED
16d ago
2026-03-26
PUBLISHED
16d ago
2026-03-26
RELEVANCE
9/ 10
AUTHOR
LinkSea8324