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ahk-d
/
whisper-tiny

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

  • Libraries
  • Transformers

    How to use ahk-d/whisper-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ahk-d/whisper-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("ahk-d/whisper-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("ahk-d/whisper-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny / runs
71.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ahk-d's picture
ahk-d
Training in progress, step 500
23fcde7 verified over 1 year ago
  • Nov13_17-47-38_bcceb8320edd
    Training in progress, step 500 over 1 year ago
  • Nov13_17-49-37_bcceb8320edd
    Training in progress, step 500 over 1 year ago
  • Nov13_18-12-04_bcceb8320edd
    Training in progress, step 500 over 1 year ago
  • Nov13_18-33-54_bcceb8320edd
    Training in progress, step 500 over 1 year ago
  • Nov13_18-59-33_bcceb8320edd
    Training in progress, step 500 over 1 year ago
  • Nov15_18-35-17_e915abfbe24f
    Training in progress, step 500 over 1 year ago