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softcatala
/
whisper-small-ca

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Catalan
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use softcatala/whisper-small-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use softcatala/whisper-small-ca with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="softcatala/whisper-small-ca")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("softcatala/whisper-small-ca")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("softcatala/whisper-small-ca")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-ca / openai
967 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
jordimas's picture
jordimas
Update location
0df352d over 3 years ago
  • c3fed188a6a95d16a3493242cedd26e7705de1b1adf0a41e29ab182190a7308b
    Update location over 3 years ago