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Cdial
/
hausa-asr

Automatic Speech Recognition
Transformers
Hausa
wav2vec2
mozilla-foundation/common_voice_8_0
Generated from Trainer
robust-speech-event
model_for_talk
hf-asr-leaderboard
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Cdial/hausa-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cdial/hausa-asr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Cdial/hausa-asr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Cdial/hausa-asr")
    model = AutoModelForCTC.from_pretrained("Cdial/hausa-asr")
  • Notebooks
  • Google Colab
  • Kaggle
hausa-asr
1.43 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Cdial's picture
Cdial
Upload tokenizer_config.json
031bd3a over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    31 Bytes
    Update README.md over 4 years ago
  • tokenizer_config.json
    221 Bytes
    Upload tokenizer_config.json over 4 years ago