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amaai-lab
/
apex

Feature Extraction
Transformers
PyTorch
English
apex
music
audio
popularity-prediction
aesthetic-quality
multi-task-learning
mert
ai-generated-music
suno
udio
custom_code
Model card Files Files and versions
xet
Community

Instructions to use amaai-lab/apex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amaai-lab/apex with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="amaai-lab/apex", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("amaai-lab/apex", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
apex
3.73 MB
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  • 2 contributors
History: 22 commits
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Jaavid25
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  • .gitattributes
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  • README.md
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  • __init__.py
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  • architecture.png
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  • config.json
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  • configuration_apex.py
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  • modeling_apex.py
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    3.33 MB
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