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 Model-Card_Becker-exemplar.pdf from drdavidprivacy/limitwise-model: direct link, hf CLI and curl.
- Browser
- Download file 135 kB
-
https://huggingface.co/drdavidprivacy/limitwise-model/resolve/main/Model-Card_Becker-exemplar.pdf
- Command line
-
hf download hf://drdavidprivacy/limitwise-model/Model-Card_Becker-exemplar.pdf
-
curl -L -o Model-Card_Becker-exemplar.pdf https://huggingface.co/drdavidprivacy/limitwise-model/resolve/main/Model-Card_Becker-exemplar.pdf
135 kB
- Xet hash:
- b6319c0265896cd2cae32d0ef0991170a44bf2abdaa086f9b1f780689c3d60d3
- Size of remote file:
- 135 kB
- SHA256:
- b46dfc76760cde4fde4fbfd793a485987f6f195240148b5526a0a2a898d67ec0
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