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tensorops
/
whisper-tiny-th-v7

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use tensorops/whisper-tiny-th-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tensorops/whisper-tiny-th-v7 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="tensorops/whisper-tiny-th-v7")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("tensorops/whisper-tiny-th-v7")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorops/whisper-tiny-th-v7")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-th-v7 / runs
189 kB
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  • 1 contributor
History: 50 commits
tensorops's picture
tensorops
Training in progress, epoch 49
0202377 over 3 years ago
  • Nov17_20-41-41_rtx-i7
    Training in progress, epoch 49 over 3 years ago