Text Classification
Transformers
Safetensors
fela-ecg
fela
fourier-neural-operator
fno
cpu
on-device
ecg
biosignal
healthcare
time-series
custom_code
Eval Results (legacy)
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
Gated model You can list files but not access them
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