Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use mrYou/whisper-small-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrYou/whisper-small-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mrYou/whisper-small-ar")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mrYou/whisper-small-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("mrYou/whisper-small-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mrYou/whisper-small-ar: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/mrYou/whisper-small-ar/resolve/main/training_args.bin
- Command line
-
hf download hf://mrYou/whisper-small-ar/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mrYou/whisper-small-ar/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 44838886ed94760fb3d1754d22e39907bb48a1471444de34d282a9ebd77145bf
- Size of remote file:
- 5.24 kB
- SHA256:
- 2d108025851362629f9c8870f9d419851a56fe9c1d92df49cf1aa2c55f71d260
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