Automatic Speech Recognition
Transformers
Arabic
whisper
asr
audio
arabic
egyptian-arabic
Eval Results (legacy)
Instructions to use MAdel121/whisper-medium-egy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MAdel121/whisper-medium-egy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MAdel121/whisper-medium-egy")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MAdel121/whisper-medium-egy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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* **Language:** ar
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* **Seed:** 1986
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The training was managed and tracked using Weights & Biases under the project `whisper-medium-egyptian-arabic` with resume ID `r3sz4v27`.
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## Training Code
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* **Language:** ar
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* **Seed:** 1986
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Training was done on 1x A100 (80GB) on Modal Labs
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The training was managed and tracked using Weights & Biases under the project `whisper-medium-egyptian-arabic` with resume ID `r3sz4v27`.
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## Training Code
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