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
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Download README_TEMPLATE.md from drdavidprivacy/limitwise-model: direct link, hf CLI and curl.
- Browser
- Download file 834 Bytes
-
https://huggingface.co/drdavidprivacy/limitwise-model/resolve/main/README_TEMPLATE.md
- Command line
-
hf download hf://drdavidprivacy/limitwise-model/README_TEMPLATE.md
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curl -L -o README_TEMPLATE.md https://huggingface.co/drdavidprivacy/limitwise-model/resolve/main/README_TEMPLATE.md
834 Bytes
metadata
license: cc-by-4.0
library_name: sklearn
pipeline_tag: tabular-classification
tags:
- tabular-classification
- ai-governance
- model-card
datasets:
- YOUR-ACCOUNT/limitwise-data
Model Card: LimitWise v2 (Corvana Bank)
Governance analyst: [YOUR NAME]
Program: AI Governance Practicum, Track 1, cohort 1
The model card for LimitWise v2, the version the Chief AI Officer signed in Week 6, is the PDF in this repository: Model-Card.pdf.
The model file and its SHA-256 are in the Space: YOUR-ACCOUNT/limitwise. The data is documented in YOUR-ACCOUNT/limitwise-data.
The organization, the system, and the people are fictional. The data is public. Educational use only.