Instructions to use azeddinShr/whisper-small-darija-AdaLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azeddinShr/whisper-small-darija-AdaLoRA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="azeddinShr/whisper-small-darija-AdaLoRA")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("azeddinShr/whisper-small-darija-AdaLoRA") model = AutoModelForSpeechSeq2Seq.from_pretrained("azeddinShr/whisper-small-darija-AdaLoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5872dfd4dd240cbaab70504139ffe3c367ac6b98336f5a7247e3d2f155d146fe
- Size of remote file:
- 484 MB
- SHA256:
- 21de554f23821dc3a7a883dbebf39641edeaa09e21a7c100f89a5e9f03e8b685
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