Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
arabic
quran
Eval Results (legacy)
Instructions to use YoussefAshmawy/Graduation_Project_Whisper_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YoussefAshmawy/Graduation_Project_Whisper_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="YoussefAshmawy/Graduation_Project_Whisper_base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("YoussefAshmawy/Graduation_Project_Whisper_base") model = AutoModelForSpeechSeq2Seq.from_pretrained("YoussefAshmawy/Graduation_Project_Whisper_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 830c715b4e919d580eb8e54065d1fabfb99727ad534b3a1bd7271cbba77dada5
- Size of remote file:
- 5.56 kB
- SHA256:
- f2c5761c3d636bddb4be51eb95de6627b689a3f39f04d56d26f76977d5a2bc12
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