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
- Xet hash:
- 0699f94debc2d3c4e31b785814e0b500fb2c4d85fe3f7712ce457247674dcd0f
- Size of remote file:
- 3.31 kB
- SHA256:
- 59250622d0022c4eb74fd3804d813c7c22908bee1f6ea26f48a27304fef78ee9
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