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lucasjca
/
whisper-tiny-fala-texto

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

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

  • Libraries
  • Transformers

    How to use lucasjca/whisper-tiny-fala-texto with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="lucasjca/whisper-tiny-fala-texto")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("lucasjca/whisper-tiny-fala-texto")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("lucasjca/whisper-tiny-fala-texto", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-fala-texto / runs
47.1 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
lucasjca's picture
lucasjca
End of training
90a09e9 verified over 1 year ago
  • Feb26_15-33-58_falatexto-justino
    End of training over 1 year ago
  • Feb26_17-02-49_falatexto-justino
    End of training over 1 year ago