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fontadie
/
whisper-tiny-openslrdev

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 fontadie/whisper-tiny-openslrdev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fontadie/whisper-tiny-openslrdev with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="fontadie/whisper-tiny-openslrdev")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("fontadie/whisper-tiny-openslrdev")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("fontadie/whisper-tiny-openslrdev", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-openslrdev / runs
119 kB
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  • 1 contributor
History: 5 commits
fontadie's picture
fontadie
Model save
0c7bd2a verified over 2 years ago
  • Apr07_12-45-27_DESKTOP-OHECI79
    Training in progress, step 60 over 2 years ago
  • Apr08_01-10-23_DESKTOP-OHECI79
    Training in progress, step 60 over 2 years ago
  • Apr08_19-37-01_DESKTOP-OHECI79
    Training in progress, step 60 over 2 years ago
  • Apr09_00-20-22_DESKTOP-OHECI79
    Training in progress, step 60 over 2 years ago
  • Apr09_08-18-39_DESKTOP-OHECI79
    Training in progress, step 60 over 2 years ago
  • May05_18-37-56_DESKTOP-OHECI79
    Training in progress, step 60 over 2 years ago
  • May05_18-43-42_DESKTOP-OHECI79
    Model save over 2 years ago