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Muno459
/
fastconformer-quran-streaming

Automatic Speech Recognition
NeMo
ONNX
Arabic
streaming
cache-aware
quran
arabic
fastconformer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • NeMo

    How to use Muno459/fastconformer-quran-streaming with NeMo:

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

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  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • README.md
    3 kB
    Streaming cache-aware Quran ASR: ONNX fp32 + q8 + CMVN + README (offline-vs-streaming comparison) 1 day ago
  • model.onnx
    459 MB
    xet
    Streaming cache-aware Quran ASR: ONNX fp32 + q8 + CMVN + README (offline-vs-streaming comparison) 1 day ago
  • model.q8.onnx
    132 MB
    xet
    Streaming cache-aware Quran ASR: ONNX fp32 + q8 + CMVN + README (offline-vs-streaming comparison) 1 day ago
  • streaming_global_cmvn.npz

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    2.3 kB
    xet
    Streaming cache-aware Quran ASR: ONNX fp32 + q8 + CMVN + README (offline-vs-streaming comparison) 1 day ago
  • streaming_inference_example.py
    3.67 kB
    Add tested ONNX streaming inference example (cache shapes + mel params + decode) about 3 hours ago
  • tokenizer.model
    255 kB
    xet
    Add BPE tokenizer (was missing - needed to decode) about 3 hours ago