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Cafet
/
w2v-bert-version-final

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

Instructions to use Cafet/w2v-bert-version-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cafet/w2v-bert-version-final with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Cafet/w2v-bert-version-final")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Cafet/w2v-bert-version-final")
    model = AutoModelForCTC.from_pretrained("Cafet/w2v-bert-version-final")
  • Notebooks
  • Google Colab
  • Kaggle
w2v-bert-version-final / runs
20.5 kB
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  • 1 contributor
History: 11 commits
Cafet's picture
Cafet
End of training
72707d3 verified about 2 years ago
  • Apr23_04-35-52_536edf001e6f
    End of training about 2 years ago