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:
- be19a4fd72bf3e07aa8081fe7e5026ef99d1103f9eecc3a334583083de4cfde1
- Size of remote file:
- 1.26 GB
- SHA256:
- f47678c86022c3437fc379ee3887bd0c9529811e506ec2fb7e4b92d28054bfd6
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