Automatic Speech Recognition
Transformers
Safetensors
Arabic
English
cohere_asr
audio
speech-recognition
transcription
arabic
asr
arabic-asr
arabic-dialect
arabic-speech-recognition
Instructions to use CohereLabs/cohere-transcribe-arabic-07-2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CohereLabs/cohere-transcribe-arabic-07-2026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CohereLabs/cohere-transcribe-arabic-07-2026")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("CohereLabs/cohere-transcribe-arabic-07-2026") model = AutoModelForSpeechSeq2Seq.from_pretrained("CohereLabs/cohere-transcribe-arabic-07-2026") - Notebooks
- Google Colab
- Kaggle
streaming support
#1
by Dusk007 - opened
Does this model supports streaming for realtime voice agents applications on offline or paid service ?
Hi! Thanks for your question. This repository currently doesn't expose a dedicated real-time streaming API. There is an open-source example of using our model in a real-time transcription setting: mlx-audio-swift, along with a demo here. If you're looking to build a real-time voice agent, that repository would be a good starting point.
For deployment, you have two options:
- Offline/self-hosted: download the model weights from HF and run it locally;
- Use the Cohere API (free for experimentation subject to rate limits, with production options available).
shaun-cassini-cohere changed discussion status to closed