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
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https://huggingface.co/drdavidprivacy/limitwise-model/resolve/main/README_TEMPLATE.md
- Command line
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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
| 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](Model-Card.pdf). | |
| The model file and its SHA-256 are in the Space: [YOUR-ACCOUNT/limitwise](https://huggingface.co/spaces/YOUR-ACCOUNT/limitwise). The data is documented in [YOUR-ACCOUNT/limitwise-data](https://huggingface.co/datasets/YOUR-ACCOUNT/limitwise-data). | |
| *The organization, the system, and the people are fictional. The data is public. Educational use only.* | |