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AescF
/
hubert-base-ls960-finetuned-common_language

Audio Classification
Transformers
PyTorch
hubert
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use AescF/hubert-base-ls960-finetuned-common_language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AescF/hubert-base-ls960-finetuned-common_language with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="AescF/hubert-base-ls960-finetuned-common_language")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("AescF/hubert-base-ls960-finetuned-common_language")
    model = AutoModelForAudioClassification.from_pretrained("AescF/hubert-base-ls960-finetuned-common_language", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-base-ls960-finetuned-common_language
1.52 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
AescF's picture
AescF
initial commit
94ae4b7 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago