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Author:
Giorgio Ottoboni
Summary:
A 4.6M-parameter tabular classifier pretrained only on synthetic data, with a scikit-learn API and CPU, CUDA/ROCm and Vulkan inference
Latest version:
1.1.0
Required dependencies:
huggingface-hub
|
numpy
|
safetensors
|
scikit-learn
|
torch
Optional dependencies:
build
|
catboost
|
joblib
|
lightgbm
|
openml
|
pandas
|
pytest
|
scipy
|
tabicl
|
threadpoolctl
|
wgpu
|
xgboost
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