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How to use
import joblib
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
REPO_ID = "d2i-pti-iu/test_svc_model"
FILENAME = "iris_svm.joblib"
model = joblib.load("../d2i-pti-iu/iris_test/iris_svm.joblib")
iris = load_iris()
X = iris.data[:3]
Y = iris.target[:3]
labels = model.predict(X)
Eval
model.score(X, Y)
- Downloads last month
- -
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("d2i-pti-iu/iris_test", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html