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omarelsayeed
/
e5fa2_el_noon_tanween

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

Instructions to use omarelsayeed/e5fa2_el_noon_tanween with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use omarelsayeed/e5fa2_el_noon_tanween with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="omarelsayeed/e5fa2_el_noon_tanween")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("omarelsayeed/e5fa2_el_noon_tanween")
    model = AutoModelForAudioClassification.from_pretrained("omarelsayeed/e5fa2_el_noon_tanween")
  • Notebooks
  • Google Colab
  • Kaggle
e5fa2_el_noon_tanween
378 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
omarelsayeed's picture
omarelsayeed
Upload feature extractor
63d96f7 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    2.61 kB
    Upload Wav2Vec2ForSequenceClassification almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Upload feature extractor almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    Upload Wav2Vec2ForSequenceClassification almost 3 years ago