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monideep2255
/
XLRS-torgo

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

Instructions to use monideep2255/XLRS-torgo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use monideep2255/XLRS-torgo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="monideep2255/XLRS-torgo")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("monideep2255/XLRS-torgo")
    model = AutoModelForCTC.from_pretrained("monideep2255/XLRS-torgo")
  • Notebooks
  • Google Colab
  • Kaggle
XLRS-torgo / language_model
461 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
monideep2255's picture
monideep2255
Upload lm-boosted decoder
8800802 over 3 years ago
  • 5gram.bin
    456 kB
    xet
    Upload lm-boosted decoder over 3 years ago
  • attrs.json
    78 Bytes
    Upload lm-boosted decoder over 3 years ago
  • unigrams.txt
    5.44 kB
    Upload lm-boosted decoder over 3 years ago