Instructions to use BOUIDA/logreg-iris-softmax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use BOUIDA/logreg-iris-softmax with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("BOUIDA/logreg-iris-softmax", "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 logreg_iris_softmax.joblib from BOUIDA/logreg-iris-softmax: direct link, hf CLI and curl.
- Browser
- Download file 1.89 kB
-
https://huggingface.co/BOUIDA/logreg-iris-softmax/resolve/main/logreg_iris_softmax.joblib
- Command line
-
hf download hf://BOUIDA/logreg-iris-softmax/logreg_iris_softmax.joblib
-
curl -L -o logreg_iris_softmax.joblib https://huggingface.co/BOUIDA/logreg-iris-softmax/resolve/main/logreg_iris_softmax.joblib
1.89 kB
- Xet hash:
- 217af0c0277b41779d94fdb0ea0e456e04df3014e498d6c1462706cf8535ad89
- Size of remote file:
- 1.89 kB
- SHA256:
- 85219a2e9dfdace5aeb8f3b2dfcde10e3e1156de02bbd0e4da2b19f6cf18ceea
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