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MatricariaV
/
Kabardian-ASR-kaggle

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

Instructions to use MatricariaV/Kabardian-ASR-kaggle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MatricariaV/Kabardian-ASR-kaggle with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="MatricariaV/Kabardian-ASR-kaggle")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("MatricariaV/Kabardian-ASR-kaggle")
    model = AutoModelForCTC.from_pretrained("MatricariaV/Kabardian-ASR-kaggle")
  • Notebooks
  • Google Colab
  • Kaggle
Kabardian-ASR-kaggle / language_model
64.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
MatricariaV's picture
MatricariaV
Upload lm-boosted decoder
0772b3e over 1 year ago
  • 5gram_correct.arpa
    63.7 MB
    xet
    Upload lm-boosted decoder over 1 year ago
  • attrs.json
    78 Bytes
    Upload lm-boosted decoder over 1 year ago
  • unigrams.txt
    1.15 MB
    Upload lm-boosted decoder over 1 year ago