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MrFitzmaurice
/
finetune-whisper-test-2

Automatic Speech Recognition
Transformers
PyTorch
whisper
Model card Files Files and versions
xet
Community
1

Instructions to use MrFitzmaurice/finetune-whisper-test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MrFitzmaurice/finetune-whisper-test-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="MrFitzmaurice/finetune-whisper-test-2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("MrFitzmaurice/finetune-whisper-test-2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("MrFitzmaurice/finetune-whisper-test-2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finetune-whisper-test-2
3.06 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
MrFitzmaurice's picture
MrFitzmaurice
Training in progress, step 105
33016ac almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    1.32 kB
    Training in progress, step 5 almost 3 years ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 5 almost 3 years ago
  • pytorch_model.bin
    3.06 GB
    xet
    Training in progress, step 105 almost 3 years ago
  • training_args.bin
    4.66 kB
    xet
    Training in progress, step 5 almost 3 years ago