Automatic Speech Recognition
Transformers
ONNX
Arabic
English
cohere_asr
speech-recognition
sherpa-onnx
cohere-asr
arabic
Instructions to use abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX") model = AutoModelForSpeechSeq2Seq.from_pretrained("abdelmoez98/cohere-transcribe-arabic-07-2026-ONNX", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 140 Bytes
bd111fd | 1 2 3 4 5 6 | {
"auto_map": {
"AutoProcessor": "processing_cohere_asr.CohereAsrProcessor"
},
"processor_class": "CohereAsrProcessor"
} |