Automatic Speech Recognition
NeMo
Arabic
arabic
quran
fastconformer
streaming
cache-aware
Eval Results (legacy)
Instructions to use mohammed/fastconformer-quran-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use mohammed/fastconformer-quran-ar with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("mohammed/fastconformer-quran-ar") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Add phase3_full checkpoint — WER 0.0014
Browse files- .gitattributes +1 -0
- phase3_full/phase3_full_wer0.0014.nemo +3 -0
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size 459243520
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