tarteel-ai/everyayah
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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"])Fine-tuned from nvidia/stt_ar_fastconformer_hybrid_large_pcd_v1.0 on tarteel-ai/everyayah.
Phase: phase3_full_finetune (Final - All layers fine-tuned)
Val WER: 0.0852
Streaming: Causal attention [128, 0] - ready for real-time inference
import nemo.collections.asr as nemo_asr
model = nemo_asr.models.EncDecHybridRNNTCTCBPEModel.restore_from("phase3_full_finetune_wer0.0852.nemo")
transcriptions = model.transcribe(["recitation.wav"])
print(transcriptions[0].text)