Instructions to use aliosmankaya/structured_arr_model_1_dim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use aliosmankaya/structured_arr_model_1_dim with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("aliosmankaya/structured_arr_model_1_dim", "structured_arr_model_1_dim.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
Commit History
-
Update README.md
08109c5 -
Update config.json
f69d653
-
Update config.json
8195325 -
Upload 2 files
88c6bb1 -
Delete structured_arr_model.joblib
cef0e8e
-
Update README.md
030acd0 -
Upload config.json
ff33dc8 -
Delete config.json
d5ff6b6 -
Upload config.json
c4859fc -
Update README.md
6310671 -
Added model card
489e263 -
Create README.md file
3704127 -
Upload structured_arr_model.joblib
Upload a linear regression model that trained with iris dataset as structured array766876f -
initial commit
2a76ef9