Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_Distilation_Whisper_base3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_Distilation_Whisper_base3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_Distilation_Whisper_base3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_Distilation_Whisper_base3") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_Distilation_Whisper_base3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfae0aaed2887a148aae37e7a2f464349c4f127142099da8a47ed4623fbd8fe6
- Size of remote file:
- 223 MB
- SHA256:
- f1cdf51c8cb89a834b399b6bb17d59963d682eebc6019c89755ecb0ec40dafd4
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