Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Arabic
hubert
CTC
Attention
Transformer
Eval Results (legacy)
Instructions to use omarxadel/hubert-large-arabic-egyptian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarxadel/hubert-large-arabic-egyptian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="omarxadel/hubert-large-arabic-egyptian")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("omarxadel/hubert-large-arabic-egyptian") model = AutoModelForCTC.from_pretrained("omarxadel/hubert-large-arabic-egyptian") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!