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
- Xet hash:
- 1767a5406f6a6695b03cc88d5faec368f6e9d120f0cd401328d4d05b5585d871
- Size of remote file:
- 7.68 MB
- SHA256:
- f265620fac3bf75e59d23207bb4cc6bd4c51934ed508707e2cbcf9d80c93e4cf
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