Instructions to use Reynier/dga-logit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Reynier/dga-logit with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Reynier/dga-logit", "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 artifacts.joblib with huggingface_hub
Browse files- artifacts.joblib +3 -0
artifacts.joblib
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a0e0d818c1ccc0591438075ec41e204a398808d1a38331bf051feba9f251d34
|
| 3 |
+
size 8425170
|