Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use deepdml/whisper-base-ar-mix-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdml/whisper-base-ar-mix-norm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="deepdml/whisper-base-ar-mix-norm")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("deepdml/whisper-base-ar-mix-norm") model = AutoModelForSpeechSeq2Seq.from_pretrained("deepdml/whisper-base-ar-mix-norm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9dbd236f1eb1b31a1f63f8dc390d5734541bb4f543d7f80b22e8742783f0e85c
- Size of remote file:
- 5.24 kB
- SHA256:
- 512b7be989a174181afe3335f40c36a69236930ab3dc1b79c5db8e0d9f9abf37
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