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dima806
/
music_genres_classification

Audio Classification
Transformers
PyTorch
Safetensors
wav2vec2
Model card Files Files and versions
xet
Community
3

Instructions to use dima806/music_genres_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dima806/music_genres_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="dima806/music_genres_classification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("dima806/music_genres_classification")
    model = AutoModelForAudioClassification.from_pretrained("dima806/music_genres_classification")
  • Notebooks
  • Google Colab
  • Kaggle
music_genres_classification
757 MB
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  • 2 contributors
History: 10 commits
dima806's picture
dima806
Update README.md
5f71fb1 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.35 kB
    Update README.md over 1 year ago
  • config.json
    2.51 kB
    Upload folder using huggingface_hub almost 3 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Upload folder using huggingface_hub almost 3 years ago
  • pytorch_model.bin
    378 MB
    xet
    Upload folder using huggingface_hub almost 3 years ago
  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_utils.HubStrategy",
    • "torch.device",
    • "transformers.training_args.OptimizerNames",
    • "transformers.training_args.TrainingArguments"

    How to fix it?

    3.57 kB
    xet
    Upload folder using huggingface_hub almost 3 years ago