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bagasshw
/
whisper-tiny-javanese-openslr-v8

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

Instructions to use bagasshw/whisper-tiny-javanese-openslr-v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bagasshw/whisper-tiny-javanese-openslr-v8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="bagasshw/whisper-tiny-javanese-openslr-v8")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("bagasshw/whisper-tiny-javanese-openslr-v8")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("bagasshw/whisper-tiny-javanese-openslr-v8")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-javanese-openslr-v8 / runs
92.6 kB
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  • 1 contributor
History: 52 commits
bagasshw's picture
bagasshw
End of training
5a4fe6e verified about 1 year ago
  • Apr30_21-58-21_dgx-a100
    Training in progress, step 20000 about 1 year ago
  • May01_05-09-28_dgx-a100
    Training in progress, step 12000 about 1 year ago
  • May01_05-12-31_dgx-a100
    End of training about 1 year ago