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rjac
/
whisper-tiny-spanish

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Spanish
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use rjac/whisper-tiny-spanish with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="rjac/whisper-tiny-spanish")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("rjac/whisper-tiny-spanish")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("rjac/whisper-tiny-spanish", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-spanish / runs
43.1 kB
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  • 1 contributor
History: 13 commits
rjac's picture
rjac
Model save
d6d902e over 3 years ago
  • Dec14_15-24-13_ce4cb299755e
    Model save almost 4 years ago
  • Dec14_17-57-27_6f0b1f472ba8
    Model save almost 4 years ago
  • Feb08_01-04-59_cb87a1d5b71d
    Model save over 3 years ago