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R3no1r
/
Experiment_huBERT

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

Instructions to use R3no1r/Experiment_huBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use R3no1r/Experiment_huBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="R3no1r/Experiment_huBERT")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("R3no1r/Experiment_huBERT")
    model = AutoModelForAudioClassification.from_pretrained("R3no1r/Experiment_huBERT")
  • Notebooks
  • Google Colab
  • Kaggle
Experiment_huBERT
378 MB
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  • 1 contributor
History: 3 commits
R3no1r's picture
R3no1r
Upload feature extractor
b2b760d verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload HubertForSequenceClassification over 1 year ago
  • config.json
    1.72 kB
    Upload HubertForSequenceClassification over 1 year ago
  • model.safetensors
    378 MB
    xet
    Upload HubertForSequenceClassification over 1 year ago
  • preprocessor_config.json
    212 Bytes
    Upload feature extractor over 1 year ago