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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 / .ipynb_checkpoints
Ctrl+K
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  • 3 contributors
History: 7 commits
marinone94's picture
marinone94
Training in progress, step 5
9415f2a over 4 years ago
  • run-checkpoint.sh
    1.03 kB
    Training in progress, step 500 over 4 years ago
  • run-dummy-ab-gpu-checkpoint.sh
    598 Bytes
    Training in progress, step 5 over 4 years ago
  • run-dummy-sv-cpu-checkpoint.sh
    1.01 kB
    Training in progress, step 5 over 4 years ago
  • run-dummy-sv-gpu-checkpoint.sh
    1.01 kB
    Training in progress, step 5 over 4 years ago
  • run_speech_recognition_ctc-checkpoint.py
    30.3 kB
    End of training over 4 years ago