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VoicesColeby
/
whisper-tiny-minds14-en-us

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

Instructions to use VoicesColeby/whisper-tiny-minds14-en-us with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VoicesColeby/whisper-tiny-minds14-en-us with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="VoicesColeby/whisper-tiny-minds14-en-us")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("VoicesColeby/whisper-tiny-minds14-en-us")
    model = AutoModelForMultimodalLM.from_pretrained("VoicesColeby/whisper-tiny-minds14-en-us")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-minds14-en-us
1.52 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
VoicesColeby's picture
VoicesColeby
initial commit
f9d3a58 verified 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 19 days ago