Instructions to use Yukin3/TPnet-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Yukin3/TPnet-baseline with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Yukin3/TPnet-baseline", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
File size: 174 Bytes
8d8e9df | 1 2 3 4 | Model,Accuracy,F1 Score,Train Time (s),Overfitting?
Baseline RF,0.999,0.998997349520192,0.49846601486206055,No
Tuned RF,0.997,0.9969955340942658,7.127919912338257,No (tuned)
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