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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("maher13/arabic-iti") model = AutoModelForCTC.from_pretrained("maher13/arabic-iti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"ف": 0, "ذ": 1, "ر": 2, "ڨ": 3, "ط": 4, "ﺃ": 5, "ھ": 6, "ض": 7, "ح": 8, "ص": 9, "ك": 10, "ه": 11, "خ": 12, "س": 13, "ا": 14, "ء": 15, "ى": 16, "ک": 17, "ز": 18, "م": 19, "ن": 20, "و": 21, "د": 22, "ع": 23, "غ": 24, "ئ": 25, "ی": 26, "ب": 27, "ق": 28, "ت": 30, "ظ": 31, "ث": 32, "ش": 33, "ج": 34, "ؤ": 35, "ة": 36, "ل": 37, "ي": 38, "ﻻ": 39, "|": 29, "[UNK]": 40, "[PAD]": 41}
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