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fastrolling
/
whisper-khmer-tiny

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Khmer
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use fastrolling/whisper-khmer-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="fastrolling/whisper-khmer-tiny", device_map="auto")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("fastrolling/whisper-khmer-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("fastrolling/whisper-khmer-tiny", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-khmer-tiny / runs
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  • 1 contributor
History: 1 commit
fastrolling's picture
fastrolling
Upload 16 files
8e96582 over 3 years ago
  • Apr19_12-11-00_KOH-GB
    Upload 16 files over 3 years ago
  • Apr19_12-13-11_KOH-GB
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