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lowdown-labs
/
fela-ecg

Text Classification
Transformers
Safetensors
fela-ecg
fela
fourier-neural-operator
fno
cpu
on-device
ecg
biosignal
healthcare
time-series
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use lowdown-labs/fela-ecg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lowdown-labs/fela-ecg with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="lowdown-labs/fela-ecg", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("lowdown-labs/fela-ecg", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • quickstart
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  • space
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • config.json
    1.53 kB
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  • configuration_ecg.py
    1.02 kB
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  • model.safetensors
    60.6 MB
    xet
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  • modeling.py
    10.8 kB
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  • modeling_ecg.py
    829 Bytes
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  • requirements.txt
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  • train.py
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  • verify.py
    1.58 kB
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