Instructions to use maher13/arabic-iti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maher13/arabic-iti with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="maher13/arabic-iti")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("maher13/arabic-iti") model = AutoModelForCTC.from_pretrained("maher13/arabic-iti") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bee9aef800d61325135397bf437b5b9544825f5022dfe91031041c93bb09ad93
- Size of remote file:
- 1.26 GB
- SHA256:
- ca8633fbd45b3bd5ae76be84742ed7754f21e7fddb5c38920f29bd0604075faa
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