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
Download train/cache-e9eec73263bbdc35.arrow from Byne/whisper-large-v3-arabic: direct link, hf CLI and curl.
- Browser
- Download file 460 kB
-
https://huggingface.co/Byne/whisper-large-v3-arabic/resolve/a14c86fa031e1a3f4033b8c722abe9d3ee6cb937/train/cache-e9eec73263bbdc35.arrow
- Command line
-
hf download hf://Byne/whisper-large-v3-arabic@a14c86fa031e1a3f4033b8c722abe9d3ee6cb937/train/cache-e9eec73263bbdc35.arrow
-
curl -L -o cache-e9eec73263bbdc35.arrow https://huggingface.co/Byne/whisper-large-v3-arabic/resolve/a14c86fa031e1a3f4033b8c722abe9d3ee6cb937/train/cache-e9eec73263bbdc35.arrow
460 kB
- Xet hash:
- 33a639c9e190fe54a6fdc00887a24ab45498f79889e3734d8a19943df2df7a4b
- Size of remote file:
- 460 kB
- SHA256:
- cc8f6b6f6df7b8c206f4609414261b96f0270a70fe23ddd5018813ff76c0e0f1
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