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sengtha
/
whisper-tiny-khmer

Automatic Speech Recognition
Transformers
ONNX
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="sengtha/whisper-tiny-khmer")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("sengtha/whisper-tiny-khmer")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("sengtha/whisper-tiny-khmer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-khmer / ct2
41.6 MB
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  • 1 contributor
History: 1 commit
sengtha's picture
sengtha
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  • config.json
    2.25 kB
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  • model.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    40.5 MB
    xet
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  • preprocessor_config.json
    315 Bytes
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  • tokenizer_config.json
    2.11 kB
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  • vocabulary.json
    1.07 MB
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