Instructions to use nrshoudi/huber_arabic_mdd_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nrshoudi/huber_arabic_mdd_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nrshoudi/huber_arabic_mdd_v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("nrshoudi/huber_arabic_mdd_v2") model = AutoModelForCTC.from_pretrained("nrshoudi/huber_arabic_mdd_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6af181e982fb9fc4a86909840c5daf0875149b259526d7b1d84ea087911decf
- Size of remote file:
- 1.26 GB
- SHA256:
- 229381c79d3019ad0dd55ec05ab21e950e0809f3e041f4decfc3b5f354e88239
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