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chrlukas
/
flattery_prediction_speech

Audio Classification
Transformers
Safetensors
English
wav2vec2
flattery
business calls
speech
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use chrlukas/flattery_prediction_speech with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="chrlukas/flattery_prediction_speech")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("chrlukas/flattery_prediction_speech")
    model = AutoModelForAudioClassification.from_pretrained("chrlukas/flattery_prediction_speech")
  • Notebooks
  • Google Colab
  • Kaggle
flattery_prediction_speech
658 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
chrlukas's picture
chrlukas
Update README.md
8254edb verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    4.08 kB
    Update README.md 3 months ago
  • config.json
    2.3 kB
    Upload Wav2Vec2ForSequenceClassification about 2 years ago
  • model.safetensors
    658 MB
    xet
    Upload Wav2Vec2ForSequenceClassification about 2 years ago
  • preprocessor_config.json
    256 Bytes
    Upload feature extractor about 2 years ago