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") - Notebooks
- Google Colab
- Kaggle
Feature Extractor
Browse files- preprocessor_config.json +1 -0
preprocessor_config.json
CHANGED
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@@ -1,5 +1,6 @@
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{
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"chunk_length": 30,
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"feature_extractor_type": "WhisperFeatureExtractor",
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"feature_size": 80,
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"hop_length": 160,
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{
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"chunk_length": 30,
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"dither": 0.0,
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"feature_extractor_type": "WhisperFeatureExtractor",
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"feature_size": 80,
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"hop_length": 160,
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