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:
- 5167c016f69abdc55de248f44be26fd5dbb9f57252bd2fc322b14c3f81338a93
- Size of remote file:
- 5.05 kB
- SHA256:
- 7179dadbb4ed79ab6e1c7312ec6f3c09e23650d2da4db5c1340ffbbd70e822ff
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