Instructions to use nrshoudi/wav2vec2-large-xls-r-300m-Arabic-phoneme-based with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nrshoudi/wav2vec2-large-xls-r-300m-Arabic-phoneme-based with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nrshoudi/wav2vec2-large-xls-r-300m-Arabic-phoneme-based")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("nrshoudi/wav2vec2-large-xls-r-300m-Arabic-phoneme-based") model = AutoModelForCTC.from_pretrained("nrshoudi/wav2vec2-large-xls-r-300m-Arabic-phoneme-based", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "[PAD]": 45, | |
| "[UNK]": 44, | |
| "|": 0, | |
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| "ﺃ": 42, | |
| "ﻻ": 43 | |
| } | |