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:
- 2e9fc4725cc1f87ebc9154f1af53d4e2f27202657f25bf4b7e9913753ef69e2b
- Size of remote file:
- 290 MB
- SHA256:
- dc4b2218ad931bf7f9853fd3f2c57f280bcf33c56113c48933ff4ed12eac63b4
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