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zubokol
/
whisper-tiny-ja

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Japanese
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use zubokol/whisper-tiny-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zubokol/whisper-tiny-ja with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="zubokol/whisper-tiny-ja")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("zubokol/whisper-tiny-ja")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("zubokol/whisper-tiny-ja")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-ja / runs
91.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
zubokol's picture
zubokol
Training in progress, step 4000
5d5cc89 verified over 2 years ago
  • Mar25_12-55-57_5ad013a22464
    Training in progress, step 1000 over 2 years ago
  • Mar25_14-13-03_5ad013a22464
    Training in progress, step 1000 over 2 years ago
  • Mar25_18-30-49_f7a04cde03da
    Training in progress, step 2000 over 2 years ago
  • Mar27_18-59-32_c28650c4ed77
    Training in progress, step 4000 over 2 years ago