Tabular Classification
Scikit-learn
logistic-regression
ai-governance
model-card
fairlearn
credit-risk
fairness
calibration
Instructions to use drdavidprivacy/limitwise-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use drdavidprivacy/limitwise-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("drdavidprivacy/limitwise-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 limitwise_v2.pkl from drdavidprivacy/limitwise-model: direct link, hf CLI and curl.
- Browser
- Download file 18.6 kB
-
https://huggingface.co/drdavidprivacy/limitwise-model/resolve/main/limitwise_v2.pkl
- Command line
-
hf download hf://drdavidprivacy/limitwise-model/limitwise_v2.pkl
-
curl -L -o limitwise_v2.pkl https://huggingface.co/drdavidprivacy/limitwise-model/resolve/main/limitwise_v2.pkl
18.6 kB
- Xet hash:
- 79db079b2e0b84b381645042e9fea63d687713bc6c776d0270bb6943fc416de0
- Size of remote file:
- 18.6 kB
- SHA256:
- 9010c6ff9746c5dbf9cebff4c746832864c4f2321d016cc5f3b226847882f705
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