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bodhan-ai
/
indic-transcribe-flex

Automatic Speech Recognition
NeMo
Safetensors
indic_canary
speech
audio
asr
multilingual
indic
code-switching
code-mixing
romanization
transliteration
language-identification
canary
fastconformer
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use bodhan-ai/indic-transcribe-flex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use bodhan-ai/indic-transcribe-flex with NeMo:

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

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Gated model
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Preview of files found in this repository
  • canary_multilingual_tokenizer.py
    4.67 kB
    feat: add NeMo support β€” tokenizer class, loader, long audio and CLI about 2 months ago
  • indic_transcribe_flex.nemo
    4.89 GB
    xet
    Add sanitized NeMo checkpoint (training paths stripped) about 2 months ago
  • inference_nemo.py
    3.35 kB
    feat: add NeMo support β€” tokenizer class, loader, long audio and CLI about 2 months ago
  • load_nemo.py
    2.61 kB
    feat: add NeMo support β€” tokenizer class, loader, long audio and CLI about 2 months ago
  • long_form_nemo.py
    5.13 kB
    feat: add NeMo support β€” tokenizer class, loader, long audio and CLI about 2 months ago
  • test_nemo.py
    1.43 kB
    feat: add NeMo support β€” tokenizer class, loader, long audio and CLI about 2 months ago