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:
- a8aade99eade9695780bc86a1308eaa336e65c466e918c48f3453f72a132c04a
- Size of remote file:
- 2.8 kB
- SHA256:
- 782989d8f2eccda50c69c0fa16dcb67c7e7e0dfea68bd8f7f4eb39e21e432e8c
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