Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_Whisper_base_s5621 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_Whisper_base_s5621 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_s5621")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_Whisper_base_s5621") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_Whisper_base_s5621", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60e95d1b938b0bd2e01d19c0ed3dd87f0f39d184be20830e9739e95360dd4541
- Size of remote file:
- 290 MB
- SHA256:
- dc9a499062cfd8d9b81edf2363c2dac5d87262967851a485d0c88e5cb015478e
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