Instructions to use RetaSy/whisper-test-ar-tarteel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RetaSy/whisper-test-ar-tarteel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RetaSy/whisper-test-ar-tarteel")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("RetaSy/whisper-test-ar-tarteel") model = AutoModelForSpeechSeq2Seq.from_pretrained("RetaSy/whisper-test-ar-tarteel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4999aaead13cc6b3d18e259ee896feade5b9c817034413353a131c2582ea5d72
- Size of remote file:
- 967 MB
- SHA256:
- adc1bef058eeb5060fd590758d699591646fc7fb64d470a0f0850d82d95e4569
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