Tabular Classification
Joblib
Scikit-learn
English
scikit-learn
classification
iris
tabular
Eval Results (legacy)
Instructions to use brjapon/iris-dt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use brjapon/iris-dt with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("brjapon/iris-dt", "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 iris_logreg.joblib from brjapon/iris-dt: direct link, hf CLI and curl.
- Browser
- Download file 1.86 kB
-
https://huggingface.co/brjapon/iris-dt/resolve/main/iris_logreg.joblib
- Command line
-
hf download hf://brjapon/iris-dt/iris_logreg.joblib
-
curl -L -o iris_logreg.joblib https://huggingface.co/brjapon/iris-dt/resolve/main/iris_logreg.joblib
1.86 kB
- Xet hash:
- 31966966e401296af1b4778e5cc1ac74e8b3c0d7a2360a5fa2804ba8890226f5
- Size of remote file:
- 1.86 kB
- SHA256:
- 184810465c047ef897a33294acc3531efa0040286f4ec8a153735c375b01a32c
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