Instructions to use Byne/whisper-large-v3-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Byne/whisper-large-v3-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Byne/whisper-large-v3-arabic")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Byne/whisper-large-v3-arabic") model = AutoModelForSpeechSeq2Seq.from_pretrained("Byne/whisper-large-v3-arabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
provide quantization version
#1
by Ali4ai - opened
please if you can provide quantization version to run with llama.ccp or fast-whispher
Ali4ai changed discussion title from provide quantization gguf version to provide quantization version
Thank you for reaching out. The model is not actively maintained in the open-source format. If you are interested in commercial applications, please do reach out to the Byne / Offset Labs team (offsetlabs.ai).
Boriscii changed discussion status to closed