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vtlustos
/
whisper-base

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

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

  • Libraries
  • Transformers

    How to use vtlustos/whisper-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="vtlustos/whisper-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("vtlustos/whisper-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("vtlustos/whisper-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base / runs
75.2 kB
Ctrl+K
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  • 1 contributor
History: 9 commits
vtlustos's picture
vtlustos
whisper-base
84a59b5 over 3 years ago
  • May11_21-52-50_zia3.cerit-sc.cz
    Training in progress, step 1000 over 3 years ago
  • May11_21-55-58_zia3.cerit-sc.cz
    Training in progress, step 1000 over 3 years ago
  • May11_22-00-08_zia3.cerit-sc.cz
    Training in progress, step 1000 over 3 years ago
  • May11_22-03-18_zia3.cerit-sc.cz
    Training in progress, step 9000 over 3 years ago
  • May13_10-58-58_galdor3.metacentrum.cz
    whisper-base over 3 years ago