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Superxixixi
/
LoCoNet_ASD

Feature Extraction
Transformers
PyTorch
loconet
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Superxixixi/LoCoNet_ASD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Superxixixi/LoCoNet_ASD", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Superxixixi/LoCoNet_ASD", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LoCoNet_ASD
138 MB
Ctrl+K
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  • 2 contributors
History: 19 commits
Superxixixi's picture
Superxixixi
Upload loconet
6f6705b over 2 years ago
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  • utils
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
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  • attentionLayer.py
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  • audioEncoder.py
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  • builder.py
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  • config.json
    367 Bytes
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  • config_loconet.py
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  • convLayer.py
    1.34 kB
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  • dataLoaderTalkSet.py
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  • dataLoader_multiperson.py
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  • environment.yml
    8.64 kB
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  • loconet.py
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  • loconet_encoder.py
    2.92 kB
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  • loss_multi.py
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  • modeling_loconet.py
    1.76 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    137 MB
    xet
    Upload loconet over 2 years ago
  • visualEncoder.py
    6.87 kB
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