Instructions to use SharleyK/engine-predictive-maintenance-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use SharleyK/engine-predictive-maintenance-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("SharleyK/engine-predictive-maintenance-model", "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
Upload best Random Forest model
Browse files- random_forest_model.pkl +3 -0
random_forest_model.pkl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a778c02ef4d2d19cadab338563fd79e2a5d3a30a3981763fbd29b6d37cdc2f73
|
| 3 |
+
size 262937
|