Instructions to use Alihanvu/ward-hifz-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Alihanvu/ward-hifz-model with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Alihanvu/ward-hifz-model") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 713da87f278f87030dbb270f40e556dcba91ad2571e2dc30e975f2102cbfb538
- Size of remote file:
- 255 kB
- SHA256:
- 1fcfa104fa448c979cc2537788947c6516827f403ecdc55c4895b77d28630ba4
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