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hts98
/
Model1

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

Instructions to use hts98/Model1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hts98/Model1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="hts98/Model1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("hts98/Model1")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("hts98/Model1")
  • Notebooks
  • Google Colab
  • Kaggle
Model1 / runs
32.7 kB
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  • 1 contributor
History: 1 commit
hts98's picture
hts98
Training in progress, epoch 1
e3b5ca2 almost 3 years ago
  • Jun01_22-20-13_3d3ef23fd0b4
    Training in progress, epoch 1 almost 3 years ago
  • Jun01_22-24-11_3d3ef23fd0b4
    Training in progress, epoch 1 almost 3 years ago
  • Jun01_22-25-44_3d3ef23fd0b4
    Training in progress, epoch 1 almost 3 years ago