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NbAiLab
/
XLSR-1B-bokmaal-low

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use NbAiLab/XLSR-1B-bokmaal-low with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLab/XLSR-1B-bokmaal-low with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/XLSR-1B-bokmaal-low")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("NbAiLab/XLSR-1B-bokmaal-low")
    model = AutoModelForCTC.from_pretrained("NbAiLab/XLSR-1B-bokmaal-low", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
XLSR-1B-bokmaal-low / runs
239 kB
Ctrl+K
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  • 3 contributors
History: 158 commits
pere's picture
pere
End of training
0527f74 over 4 years ago
  • Feb06_21-00-20_job-c93f32d8-97c5-48e7-b5ec-c6c950f627ba
    Training in progress, step 500 over 4 years ago
  • Feb06_21-06-35_job-c93f32d8-97c5-48e7-b5ec-c6c950f627ba
    final from OVH over 4 years ago
  • Feb07_20-59-13_dante
    Training in progress, step 500 over 4 years ago
  • Feb07_22-48-25_dante
    End of training over 4 years ago
  • Feb11_17-40-48_dante
    End of training over 4 years ago