Instructions to use SAP/CASE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- CASE
How to use SAP/CASE with CASE:
pip install git+https://github.com/SAP-samples/case
import pandas as pd from case.embedding import CaseTransformer X = pd.DataFrame({ "job": ["Junior Data Scientist", "Senior Data Scientist", "Engineering Manager", "Product Executive"], "years_experience": [1.5, 10.0, 12.0, 14.0], }) y = pd.Series([72000, 130000, 165000, 210000], name="income") case_embedder = CaseTransformer() X_enhanced = case_embedder.fit_transform(X, y) # X_enhanced can now be fed to any tabular learner (e.g. TabICL) - Notebooks
- Google Colab
- Kaggle
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This repository is publicly accessible, but you have to accept the conditions to access its files and content.
CASE is a Model Derivative of Google's Gemma 3 and is provided under and subject to the Gemma Terms of Use (https://gemma.ai/resources/terms/) and the Gemma Prohibited Use Policy (https://gemma.ai/resources/prohibited-use/), as updated by Google from time to time. In addition, SAP SE licenses this model for RESEARCH PURPOSES ONLY, as defined in the CASE License. By requesting access, you agree, on your own behalf and on behalf of any entity you represent, to the full CASE License contained in the file LICENSE of this repository, including the Gemma Terms of Use, the Gemma Prohibited Use Policy and SAP's additional terms, and including the obligation to pass these restrictions on, in full, to anyone to whom you distribute the model or any derivative of it.
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