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cahya
/
wav2vec2-luganda

Automatic Speech Recognition
Transformers
PyTorch
Ganda
wav2vec2
audio
common_voice
hf-asr-leaderboard
robust-speech-event
speech
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use cahya/wav2vec2-luganda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cahya/wav2vec2-luganda with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="cahya/wav2vec2-luganda")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("cahya/wav2vec2-luganda")
    model = AutoModelForCTC.from_pretrained("cahya/wav2vec2-luganda")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-luganda / language_model
Ctrl+K
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  • 2 contributors
History: 1 commit
cahya's picture
cahya
add lm
d88653c over 4 years ago
  • attrs.json
    78 Bytes
    add lm over 4 years ago
  • common_voice.bin
    12.2 MB
    xet
    add lm over 4 years ago
  • unigrams.txt
    405 kB
    add lm over 4 years ago