Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use deepdml/whisper-small-ar-mix-norm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdml/whisper-small-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-small-ar-mix-norm")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("deepdml/whisper-small-ar-mix-norm") model = AutoModelForSpeechSeq2Seq.from_pretrained("deepdml/whisper-small-ar-mix-norm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from deepdml/whisper-small-ar-mix-norm: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/deepdml/whisper-small-ar-mix-norm/resolve/main/training_args.bin
- Command line
-
hf download hf://deepdml/whisper-small-ar-mix-norm/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/deepdml/whisper-small-ar-mix-norm/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 4e41fa81ae46ec0499fab665bb62aebef5cf778574f29feab5f5806d56f62906
- Size of remote file:
- 5.5 kB
- SHA256:
- 03c0322fcde499eba188302725f78fae6217a334a42663813e80df521b2f31b8
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