Tabular Regression
Scikit-learn
Joblib
regression
tabular
advertising
marketing
roi-prediction
xgboost
Instructions to use speedupp/ad-roi-regression-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use speedupp/ad-roi-regression-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("speedupp/ad-roi-regression-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 label_encoder_platform.joblib from speedupp/ad-roi-regression-model: direct link, hf CLI and curl.
- Browser
- Download file 543 Bytes
-
https://huggingface.co/speedupp/ad-roi-regression-model/resolve/main/label_encoder_platform.joblib
- Command line
-
hf download hf://speedupp/ad-roi-regression-model/label_encoder_platform.joblib
-
curl -L -o label_encoder_platform.joblib https://huggingface.co/speedupp/ad-roi-regression-model/resolve/main/label_encoder_platform.joblib
543 Bytes
- Xet hash:
- 5f38972621534aa0f9d32920a88c613179044868f542a427c5761465c7e8d2f5
- Size of remote file:
- 543 Bytes
- SHA256:
- 553e16a9f0645b1f13adcff69191bb1dcbf5ef937c3ae3f5df009d78f9377fd4
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