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Muno459
/
fastconformer-quran

Automatic Speech Recognition
NeMo
ONNX
Arabic
audio
arabic
quran
quranic-recitation
tajweed
fastconformer
mispronunciation-detection
Eval Results (legacy)
Model card Files Files and versions
xet
Community
6

Instructions to use Muno459/fastconformer-quran with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use Muno459/fastconformer-quran with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("Muno459/fastconformer-quran")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • demo
    FastConformer-Quran v3.0 about 2 months ago
  • head
    Remove duplicate head/pronunciation_head_v8.pt (replaced in place) about 1 month ago
  • nemo
    Remove stale phase4c checkpoint (superseded by current weights) about 1 month ago
  • onnx
    Remove duplicate onnx/model_with_encoder_4h.q8.onnx (replaced in place) about 1 month ago
  • tajweed
    FastConformer-Quran v3.0 about 2 months ago
  • .gitattributes
    1.85 kB
    Ship current (phase4d) weights; replace stale phase4c .nemo about 1 month ago
  • LICENSE
    4.76 kB
    License: switch to Quran-Lab No-Profit License (NPL-1.0) 3 days ago
  • README.md
    15.9 kB
    License: CC-BY-4.0 -> NPL-1.0 (no-profit), matching the other Quran models 3 days ago
  • model_config.yaml
    42.4 kB
    FastConformer-Quran v3.0 about 2 months ago
  • tokenizer.model
    255 kB
    xet
    FastConformer-Quran v3.0 about 2 months ago
  • tokens.txt
    12.8 kB
    FastConformer-Quran v3.0 about 2 months ago