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controngo
/
whisper-tiny-cv-de

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
German
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use controngo/whisper-tiny-cv-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use controngo/whisper-tiny-cv-de with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="controngo/whisper-tiny-cv-de")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("controngo/whisper-tiny-cv-de")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("controngo/whisper-tiny-cv-de")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-cv-de / runs
73.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
controngo's picture
controngo
Training in progress, step 2000
14ba279 verified almost 2 years ago
  • Jun26_16-42-21_feebd6fb3811
    End of training almost 2 years ago
  • Jun26_19-46-19_feebd6fb3811
    Training in progress, step 250 almost 2 years ago
  • Jun26_19-49-09_feebd6fb3811
    Training in progress, step 2000 almost 2 years ago