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
Download confusion_matrix_tuned_rf.png from Yukin3/TPnet-baseline: direct link, hf CLI and curl.
- Browser
- Download file 20.1 kB
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https://huggingface.co/Yukin3/TPnet-baseline/resolve/main/confusion_matrix_tuned_rf.png
- Command line
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hf download hf://Yukin3/TPnet-baseline/confusion_matrix_tuned_rf.png
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curl -L -o confusion_matrix_tuned_rf.png https://huggingface.co/Yukin3/TPnet-baseline/resolve/main/confusion_matrix_tuned_rf.png
20.1 kB
