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Soupis
/
opus-base-2

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

Instructions to use Soupis/opus-base-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Soupis/opus-base-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Soupis/opus-base-2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Soupis/opus-base-2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Soupis/opus-base-2")
  • Notebooks
  • Google Colab
  • Kaggle
opus-base-2 / runs
17.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
sant
Training in progress, step 2000
1bef3e5 verified almost 2 years ago
  • Jun19_12-57-25_dd4a2a96a094
    Training in progress, step 500 almost 2 years ago
  • Jun20_12-56-49_812280061efc
    Training in progress, step 2000 almost 2 years ago