Instructions to use Delower/dpp4-pic50-extra-trees with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Delower/dpp4-pic50-extra-trees with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Delower/dpp4-pic50-extra-trees", "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 model.pkl from Delower/dpp4-pic50-extra-trees: direct link, hf CLI and curl.
- Browser
- Download file 52.8 MB
-
https://huggingface.co/Delower/dpp4-pic50-extra-trees/resolve/main/model.pkl
- Command line
-
hf download hf://Delower/dpp4-pic50-extra-trees/model.pkl
-
curl -L -o model.pkl https://huggingface.co/Delower/dpp4-pic50-extra-trees/resolve/main/model.pkl
52.8 MB
- Xet hash:
- 2a77f919b5ab04a245a106bcf313e79d89f0ec1d31be27731d63da4299c7811f
- Size of remote file:
- 52.8 MB
- SHA256:
- b8dbc721204f4250402a4344f27b384d2c811cdf4fcb575c3e5b6ffdbfe031ed
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