Instructions to use MelioAI/iris-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use MelioAI/iris-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("MelioAI/iris-classifier", "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
File size: 939 Bytes
13883a7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | {
"sklearn": {
"columns": [
"sepal length (cm)",
"sepal width (cm)",
"petal length (cm)",
"petal width (cm)"
],
"environment": [
"scikit-learn==1.3.0",
"joblib==1.3.2"
],
"example_input": {
"petal length (cm)": [
1.0,
1.5,
4.4
],
"petal width (cm)": [
0.2,
0.4,
1.4
],
"sepal length (cm)": [
4.6,
5.7,
6.7
],
"sepal width (cm)": [
3.6,
4.4,
3.1
]
},
"model": {
"file": "model.joblib"
},
"model_format": "pickle",
"task": "tabular-classification",
"use_intelex": false
}
} |