Instructions to use nrshoudi/wav2vec2-large-xls-r-300m-Arabic-phoneme 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 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")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("nrshoudi/wav2vec2-large-xls-r-300m-Arabic-phoneme") model = AutoModelForCTC.from_pretrained("nrshoudi/wav2vec2-large-xls-r-300m-Arabic-phoneme", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e1d17632e088123aed5c4c36fb5a46893fab6f983825b77981bbd519a366ed4
- Size of remote file:
- 1.26 GB
- SHA256:
- d501aaa1a0ebe82a2f240f20be49741ed60a5d6fce0e364b79e016a468b371d8
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