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pragsGit
/
whisper-tiny-minds14

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 pragsGit/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pragsGit/whisper-tiny-minds14 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="pragsGit/whisper-tiny-minds14")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("pragsGit/whisper-tiny-minds14")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("pragsGit/whisper-tiny-minds14", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-minds14 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
pragsGit's picture
pragsGit
Training in progress, step 500
68baeb8 verified over 2 years ago
  • Feb28_13-32-54_e2a9b03a8049
    End of training over 2 years ago
  • Feb28_13-44-33_e2a9b03a8049
    End of training over 2 years ago
  • Feb28_15-24-59_1a3a42dac2fd
    Training in progress, step 500 over 2 years ago