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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
Ctrl+K
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  • 2 contributors
History: 11 commits
anton-l's picture
anton-l HF Staff
Upload README.md
56470a0 about 4 years ago
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  • 7be87e0d4d5617e9068e57ef8f6b00e4cb98c93ac21b4ed18d1cc7d5570872e0

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.26 GB
    xet
    Upload 7be87e0d4d5617e9068e57ef8f6b00e4cb98c93ac21b4ed18d1cc7d5570872e0 with git-lfs over 4 years ago
  • README.md
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  • config.json
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer_config.json
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