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
- Size of remote file:
- 5.5 kB
- SHA256:
- 4682f2688804059fb9c9d7800d037ffc237e62b62e0050f87f8522052d220580
·
Git Large File Storage (LFS) replaces large files with text pointers inside Git, while storing the file contents on a remote server. More info.