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bagasshw
/
asr_java_result_full

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

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

  • Libraries
  • Transformers

    How to use bagasshw/asr_java_result_full with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="bagasshw/asr_java_result_full")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("bagasshw/asr_java_result_full")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("bagasshw/asr_java_result_full")
  • Notebooks
  • Google Colab
  • Kaggle
asr_java_result_full / runs
39.2 kB
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  • 1 contributor
History: 2 commits
bagasshw's picture
bagasshw
End of training
518e388 verified about 1 year ago
  • Mar04_22-08-27_dgx-a100
    End of training about 1 year ago
  • Mar05_10-06-16_dgx-a100
    End of training about 1 year ago
  • Mar05_11-21-02_dgx-a100
    End of training about 1 year ago