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SHENMU007
/
neunit-ks-531

Audio Classification
Transformers
PyTorch
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use SHENMU007/neunit-ks-531 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SHENMU007/neunit-ks-531 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="SHENMU007/neunit-ks-531")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("SHENMU007/neunit-ks-531")
    model = AutoModelForAudioClassification.from_pretrained("SHENMU007/neunit-ks-531")
  • Notebooks
  • Google Colab
  • Kaggle
neunit-ks-531
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
SHENMU007's picture
SHENMU007
update model card README.md
e6675ef about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 0 about 3 years ago
  • README.md
    1.74 kB
    update model card README.md about 3 years ago
  • all_results.json
    353 Bytes
    End of training about 3 years ago
  • config.json
    2.56 kB
    Training in progress, epoch 0 about 3 years ago
  • eval_results.json
    205 Bytes
    End of training about 3 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, epoch 0 about 3 years ago
  • pytorch_model.bin
    378 MB
    xet
    Model save about 3 years ago
  • train_results.json
    169 Bytes
    End of training about 3 years ago
  • trainer_state.json
    12.9 kB
    End of training about 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Training in progress, epoch 0 about 3 years ago