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shridhar786
/
language_classification_wav2vec_hi_en

Audio Classification
Transformers
Safetensors
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use shridhar786/language_classification_wav2vec_hi_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use shridhar786/language_classification_wav2vec_hi_en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="shridhar786/language_classification_wav2vec_hi_en")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("shridhar786/language_classification_wav2vec_hi_en")
    model = AutoModelForAudioClassification.from_pretrained("shridhar786/language_classification_wav2vec_hi_en", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
language_classification_wav2vec_hi_en
378 MB
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  • 1 contributor
History: 4 commits
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shridhar786
Update README.md
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  • .gitattributes
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    initial commit over 1 year ago
  • README.md
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    Update README.md over 1 year ago
  • config.json
    2.5 kB
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  • model.safetensors
    378 MB
    xet
    Initial commit over 1 year ago
  • preprocessor_config.json
    215 Bytes
    Initial commit over 1 year ago