Tabular Regression
Scikit-learn
Joblib
sklearn-pipeline
card-game
flesh-and-blood
game-balance
educational
Instructions to use 4math/FAB_Prediction_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use 4math/FAB_Prediction_Model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("4math/FAB_Prediction_Model", "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.joblib from 4math/FAB_Prediction_Model: direct link, hf CLI and curl.
- Browser
- Download file 16.6 kB
-
https://huggingface.co/4math/FAB_Prediction_Model/resolve/main/model.joblib
- Command line
-
hf download hf://4math/FAB_Prediction_Model/model.joblib
-
curl -L -o model.joblib https://huggingface.co/4math/FAB_Prediction_Model/resolve/main/model.joblib
16.6 kB
- Xet hash:
- d0b79ce9d6e2aa146b5adf40f82461fe50f09f5757d526352cb7505f4e867226
- Size of remote file:
- 16.6 kB
- SHA256:
- 1d9b4c7b57ee1ca549288182b3481698c5044ed55d5a7163bd83f409ae01e6d4
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