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Kuenga
/
DzongkhaASR2

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

Instructions to use Kuenga/DzongkhaASR2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Kuenga/DzongkhaASR2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Kuenga/DzongkhaASR2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Kuenga/DzongkhaASR2")
    model = AutoModelForCTC.from_pretrained("Kuenga/DzongkhaASR2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DzongkhaASR2 / runs
33.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Kuenga's picture
Kuenga
Training in progress, step 1500
830d4ea verified about 1 year ago
  • May26_05-05-49_4166491d9f82
    Training in progress, step 400 about 1 year ago
  • May26_06-54-33_4166491d9f82
    Training in progress, step 400 about 1 year ago
  • May26_07-34-29_4166491d9f82
    Training in progress, step 400 about 1 year ago
  • May26_08-59-25_4166491d9f82
    Training in progress, step 1500 about 1 year ago