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RobotsMali
/
anbekalanNet

Automatic Speech Recognition
NeMo
PyTorch
Bambara
speech
audio
CTC
QuartzNet
legacy-model
deprecated
Bambara
NeMo
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use RobotsMali/anbekalanNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use RobotsMali/anbekalanNet with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("RobotsMali/anbekalanNet")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
anbekalanNet
76.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
diarray's picture
diarray
Update README.md
9ed6cbe verified 5 days ago
  • .gitattributes
    1.57 kB
    Push model using huggingface_hub. 5 days ago
  • README.md
    5.44 kB
    Update README.md 5 days ago
  • anbekalanNet.nemo
    76.5 MB
    xet
    Push model using huggingface_hub. 5 days ago