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anderloh
/
wav2vec_finetuned

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

Instructions to use anderloh/wav2vec_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anderloh/wav2vec_finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="anderloh/wav2vec_finetuned")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("anderloh/wav2vec_finetuned")
    model = AutoModelForAudioClassification.from_pretrained("anderloh/wav2vec_finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec_finetuned
378 MB
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  • 1 contributor
History: 2 commits
anderloh's picture
anderloh
Upload 3 files
c0a5bd5 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • config.json
    2.53 kB
    Upload 3 files over 2 years ago
  • preprocessor_config.json
    214 Bytes
    Upload 3 files over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    378 MB
    xet
    Upload 3 files over 2 years ago