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ccibeekeoc42
/
whisper-small-yoruba-07-17

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use ccibeekeoc42/whisper-small-yoruba-07-17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ccibeekeoc42/whisper-small-yoruba-07-17 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ccibeekeoc42/whisper-small-yoruba-07-17")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("ccibeekeoc42/whisper-small-yoruba-07-17")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("ccibeekeoc42/whisper-small-yoruba-07-17", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-yoruba-07-17 / runs
40.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
ccibeekeoc42's picture
ccibeekeoc42
Training in progress, step 3356
5a50444 verified about 2 years ago
  • Jul17_12-53-15_8499af3fe3b5
    Training in progress, step 3356 about 2 years ago