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lukab
/
ka-fastconformer

Automatic Speech Recognition
NeMo
Georgian
speech
audio
georgian
telephony
punctuation
FastConformer
Transducer
CTC
hybrid
NeMo
Model card Files Files and versions
xet
Community

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

  • Libraries
  • NeMo

    How to use lukab/ka-fastconformer with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("lukab/ka-fastconformer")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
ka-fastconformer
459 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
lukab's picture
lukab
Trained for conversation and phone calls; writes punctuation
c254baf verified 4 days ago
  • .gitattributes
    1.64 kB
    Trained for conversation and phone calls; writes punctuation 4 days ago
  • README.md
    9.93 kB
    Trained for conversation and phone calls; writes punctuation 4 days ago
  • ka-fastconformer.nemo
    459 MB
    xet
    Trained for conversation and phone calls; writes punctuation 4 days ago
  • training_config.yaml
    3.02 kB
    Trained for conversation and phone calls; writes punctuation 4 days ago