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
| { | |
| "model_type": "logit", | |
| "architecture": "TF-IDF + Lexical Features + Logistic Regression", | |
| "features": "tfidf_char_ngrams + 15_lexical_features", | |
| "num_classes": 2, | |
| "id2label": {"0": "legit", "1": "dga"}, | |
| "label2id": {"legit": 0, "dga": 1}, | |
| "framework": "sklearn", | |
| "weights_file": "artifacts.joblib", | |
| "train_families": 54, | |
| "train_rows": 845639 | |
| } | |