Text Classification
Joblib
Scikit-learn
English
scikit-learn
sklearn-logistic-regression
document-classification
binary-classification
legal-documents
hoa
property-management
ccr
declaration-of-covenants
logistic-regression
Eval Results (legacy)
Instructions to use GoverningDocs/ccr-binary-logreg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use GoverningDocs/ccr-binary-logreg with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("GoverningDocs/ccr-binary-logreg", "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
T18 Phase 1 Tier 1: LogReg + threshold 0.436
Browse files
ccr_binary_logreg_tuned.joblib
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8fd0541d2fc489212e0638ceedc31067f15277bd3b3874c9c0068b3d98368750
|
| 3 |
+
size 13310
|