Tabular Classification
Scikit-learn
English
loan-default
credit-risk
classification
regression
xgboost
gradient-boosting
tabular
finance
supervised-learning
feature-engineering
Instructions to use Uris001/loan-default-risk-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Uris001/loan-default-risk-predictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Uris001/loan-default-risk-predictor", "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 presentation.mp4 from Uris001/loan-default-risk-predictor: direct link, hf CLI and curl.
- Browser
- Download file 59.8 MB
-
https://huggingface.co/Uris001/loan-default-risk-predictor/resolve/main/presentation.mp4
- Command line
-
hf download hf://Uris001/loan-default-risk-predictor/presentation.mp4
-
curl -L -o presentation.mp4 https://huggingface.co/Uris001/loan-default-risk-predictor/resolve/main/presentation.mp4
59.8 MB
- Xet hash:
- f62f7f10727f71a90b3f3bd5a6683d69a90e9cd5629b7f1ddae3ea8069d5e20b
- Size of remote file:
- 59.8 MB
- SHA256:
- 2979ce469874ec9c6030e70094fde7db66bb77a82fee37c99996aefe65016bd6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.