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marinone94
/
xls-r-300m-sv-robust

Automatic Speech Recognition
Transformers
PyTorch
Swedish
wav2vec2
mozilla-foundation/common_voice_9_0
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use marinone94/xls-r-300m-sv-robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use marinone94/xls-r-300m-sv-robust with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="marinone94/xls-r-300m-sv-robust")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("marinone94/xls-r-300m-sv-robust")
    model = AutoModelForCTC.from_pretrained("marinone94/xls-r-300m-sv-robust")
  • Notebooks
  • Google Colab
  • Kaggle
xls-r-300m-sv-robust / checkpoint-400
3.75 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
marinone94's picture
marinone94
Training in progress, step 500
4621ac3 over 4 years ago
  • config.json
    2.03 kB
    Training in progress, step 500 over 4 years ago
  • optimizer.pt
    2.49 GB
    xet
    Training in progress, step 500 over 4 years ago
  • preprocessor_config.json
    212 Bytes
    Training in progress, step 500 over 4 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Training in progress, step 500 over 4 years ago
  • rng_state.pth
    14.6 kB
    xet
    Training in progress, step 500 over 4 years ago
  • scaler.pt
    559 Bytes
    xet
    Training in progress, step 500 over 4 years ago
  • scheduler.pt
    623 Bytes
    xet
    Training in progress, step 500 over 4 years ago
  • trainer_state.json
    6.92 kB
    Training in progress, step 500 over 4 years ago
  • training_args.bin
    2.99 kB
    xet
    Training in progress, step 500 over 4 years ago