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QCRI
/
hubert-sst2-audio-ft

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

Instructions to use QCRI/hubert-sst2-audio-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use QCRI/hubert-sst2-audio-ft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="QCRI/hubert-sst2-audio-ft")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("QCRI/hubert-sst2-audio-ft")
    model = AutoModelForAudioClassification.from_pretrained("QCRI/hubert-sst2-audio-ft")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-sst2-audio-ft
1.26 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
asimokby's picture
asimokby
Upload feature extractor
885e969 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.17 kB
    Upload HubertForSequenceClassification 12 months ago
  • config.json
    1.6 kB
    Upload HubertForSequenceClassification 12 months ago
  • model.safetensors
    1.26 GB
    xet
    Upload HubertForSequenceClassification 12 months ago
  • preprocessor_config.json
    212 Bytes
    Upload feature extractor 12 months ago