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crackthejob
/
audio-classification-model

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

Instructions to use crackthejob/audio-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use crackthejob/audio-classification-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="crackthejob/audio-classification-model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("crackthejob/audio-classification-model")
    model = AutoModelForAudioClassification.from_pretrained("crackthejob/audio-classification-model")
  • Notebooks
  • Google Colab
  • Kaggle
audio-classification-model
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
saatwiksy's picture
saatwiksy
Upload processor
de5cb2c verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload Wav2Vec2ForSequenceClassification over 1 year ago
  • config.json
    2.65 kB
    Upload Wav2Vec2ForSequenceClassification over 1 year ago
  • model.safetensors
    378 MB
    xet
    Upload Wav2Vec2ForSequenceClassification over 1 year ago
  • preprocessor_config.json
    257 Bytes
    Upload processor over 1 year ago
  • special_tokens_map.json
    96 Bytes
    Upload processor over 1 year ago
  • tokenizer_config.json
    1.18 kB
    Upload processor over 1 year ago
  • vocab.json
    358 Bytes
    Upload processor over 1 year ago