Instructions to use nateraw/custom-sklearn-pipe-objects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use nateraw/custom-sklearn-pipe-objects with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("nateraw/custom-sklearn-pipe-objects", "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
commit files to HF hub
Browse files- sklearn_model.joblib +3 -0
- sklearn_transformer.joblib +3 -0
sklearn_model.joblib
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b88fc3e3f2a60b39ab9e579564648c44a4e643d65e9a8dc93fe9815414f045d8
|
| 3 |
+
size 225
|
sklearn_transformer.joblib
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:178dec1149bf2ee473bd1413e59b51a033ac90ae79df4e1d77e4e09e35245c14
|
| 3 |
+
size 49
|