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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
303 MB
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  • 1 contributor
History: 52 commits
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SFconvertbot
Adding `safetensors` variant of this model
e67e5f9 verified over 1 year ago
  • runs
    Training in progress, epoch 49 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 0 over 3 years ago
  • config.json
    1.02 kB
    Training in progress, epoch 0 over 3 years ago
  • model.safetensors
    151 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    185 kB
    Training in progress, epoch 0 over 3 years ago
  • pytorch_model.bin
    151 MB
    xet
    Training in progress, epoch 49 over 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Training in progress, epoch 0 over 3 years ago