### How to use

```python

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/test_svc_model/iris_svm.joblib")
iris = load_iris()

X = iris.data[:3]
labels = model.predict(X)
```
{"tags": ["tabular-classification"], "datasets": ["scikit-learn/iris"], "widget": {"structuredData": {"SepalLengthCm": [5.1, 4.9, 6.2], "SepalWidthCm": [3.5, 3, 3.4], "PetalLengthCm": [1.4, 1.4, 5.4], "PetalWidthCm": [0.2, 0.2, 2.3]}}}
transformers joblib SVC tabular-classification dataset:scikit-learn/iris endpoints_compatible has_space region:us
TAGS
#transformers #joblib #SVC #tabular-classification #dataset-scikit-learn/iris #endpoints_compatible #has_space #region-us 

### How to use


### How to use
TAGS
#transformers #joblib #SVC #tabular-classification #dataset-scikit-learn/iris #endpoints_compatible #has_space #region-us 
 ### How to use