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shane062
/
whisper-tiny-finetuned

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

Instructions to use shane062/whisper-tiny-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use shane062/whisper-tiny-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="shane062/whisper-tiny-finetuned")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("shane062/whisper-tiny-finetuned")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("shane062/whisper-tiny-finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-finetuned
151 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
shane062's picture
shane062
End of training
1b0c532 verified over 2 years ago
  • runs
    Training in progress, step 500 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.97 kB
    End of training over 2 years ago
  • config.json
    2.43 kB
    Training in progress, step 500 over 2 years ago
  • generation_config.json
    3.99 kB
    End of training over 2 years ago
  • model.safetensors
    151 MB
    xet
    Training in progress, step 500 over 2 years ago
  • preprocessor_config.json
    353 Bytes
    Training in progress, step 500 over 2 years ago
  • training_args.bin
    5.3 kB
    xet
    Training in progress, step 500 over 2 years ago