Instructions to use svnfs/rfc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use svnfs/rfc with Scikit-learn:
from skops.hub_utils import download from skops.io import load download("svnfs/rfc", "path_to_folder") # make sure model file is in skops format # if model is a pickle file, make sure it's from a source you trust model = load("path_to_folder/rfc.pkl") - Notebooks
- Google Colab
- Kaggle
File size: 724 Bytes
ff5aea0 | 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 | {
"sklearn": {
"columns": [
"x0",
"x1",
"x2",
"x3"
],
"environment": [
"scikit-learn=1.1.3"
],
"example_input": {
"x0": [
5.8,
6.0,
5.5
],
"x1": [
2.8,
2.2,
4.2
],
"x2": [
5.1,
4.0,
1.4
],
"x3": [
2.4,
1.0,
0.2
]
},
"model": {
"file": "rfc.pkl"
},
"task": "tabular-classification"
}
} |