Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_Whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_Whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_Whisper")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_Whisper") model = AutoModelForMultimodalLM.from_pretrained("Baselhany/Graduation_Project_Whisper") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab0914ccbbfb8420d647b1adc9f7cb3c8988808570c8f139e402dc66c316d5c1
- Size of remote file:
- 290 MB
- SHA256:
- 5dbe92fb4384761dcd341c6abbb8ea29e1a5c8e3de6a267a8360ff823ba7950d
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