Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_Whisper_base_segment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_Whisper_base_segment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_Whisper_base_segment")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_Whisper_base_segment") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_Whisper_base_segment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60b1cc2a1a4f9c59e08ba89e2a220230c44dee914a56dd3dc5d3e334c488b483
- Size of remote file:
- 290 MB
- SHA256:
- ce5343a5f760aeabf57cf6bff2a214e723af0fd19c91b80a09f5e7544618a924
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