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SirapopModel
/
whisper-small-th

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

Instructions to use SirapopModel/whisper-small-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SirapopModel/whisper-small-th with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="SirapopModel/whisper-small-th")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("SirapopModel/whisper-small-th")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("SirapopModel/whisper-small-th")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-th / runs
132 kB
Ctrl+K
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  • 1 contributor
History: 9 commits
SirapopModel's picture
SirapopModel
End of training
f0632a6 verified over 1 year ago
  • Nov13_08-55-37_3e158c427c74
    Training in progress, step 1000 over 1 year ago
  • Nov15_02-37-07_622a011250bd
    Training in progress, step 4000 over 1 year ago
  • Nov16_04-51-38_6ebfd1c10cb0
    End of training over 1 year ago