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
Ward Hifz on-device model mirror
This is a public distribution mirror used by the free, non-commercial Ward Quran memorization mode. The model artifacts are unchanged copies from Muno459/fastconformer-quran-streaming, upstream revision efc199437ac74ded89f4cbccfd5d3ec4c7949c15.
Attribution and license
Model copyright ? 2026 Muno459 / Quran-Lab. Credit: Muno459 / Quran-Lab, fastconformer-quran.
The artifacts are distributed under the Quran-Lab No-Profit License v1.0 (NPL-1.0). See LICENSE. The model may not be used for profit, paid features, subscriptions, advertising, or revenue-generating services.
Files used by Ward
model_streaming_with_encoder.q8.onnxtokenizer.modelstreaming_global_cmvn.npz
Ward downloads these files once, verifies their pinned SHA-256 hashes, and runs recognition locally. Recitation audio is not uploaded.
No authorship or endorsement by Muno459 / Quran-Lab is implied beyond the original model attribution above.
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Model tree for Alihanvu/ward-hifz-model
Base model
Muno459/fastconformer-quran-streaming