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seiching
/
whisper-large-seiching

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Chinese
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use seiching/whisper-large-seiching with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="seiching/whisper-large-seiching")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("seiching/whisper-large-seiching")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("seiching/whisper-large-seiching")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-seiching / runs
78.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
seiching's picture
seiching
End of training
25f76a4 over 2 years ago
  • Jan29_13-33-59_jupyter-207331-40cpc-2ecom-2etw
    Training in progress, step 500 over 2 years ago
  • Jan29_16-17-18_jupyter-207331-40cpc-2ecom-2etw
    End of training over 2 years ago