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ogunlao
/
SBPN_multilingual_base

Automatic Speech Recognition
NeMo
PyTorch
NeMo
Yoruba
Igbo
Nigerian_Pidgin
Nigerian_English
Hausa
NaijaVoices
Model card Files Files and versions
xet
Community

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

  • Libraries
  • NeMo

    How to use ogunlao/SBPN_multilingual_base with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("ogunlao/SBPN_multilingual_base")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
SBPN_multilingual_base
482 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
ogunlao's picture
ogunlao
Update README.md
68ed818 verified 2 days ago
  • .gitattributes
    1.58 kB
    Push model using huggingface_hub. 4 days ago
  • README.md
    4.59 kB
    Update README.md 2 days ago
  • SBPN_multilingual_base.nemo
    482 MB
    xet
    Push model using huggingface_hub. 4 days ago