Instructions to use canalan/MalwareDatasetClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use canalan/MalwareDatasetClassification with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("canalan/MalwareDatasetClassification", "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
Download sban_weighted_stacking_model.joblib from canalan/MalwareDatasetClassification: direct link, hf CLI and curl.
- Browser
- Download file 6.71 MB
-
https://huggingface.co/canalan/MalwareDatasetClassification/resolve/main/sban_weighted_stacking_model.joblib
- Command line
-
hf download hf://canalan/MalwareDatasetClassification/sban_weighted_stacking_model.joblib
-
curl -L -o sban_weighted_stacking_model.joblib https://huggingface.co/canalan/MalwareDatasetClassification/resolve/main/sban_weighted_stacking_model.joblib
6.71 MB
- Xet hash:
- 35aec6acf29e4b2f8e214d204d5820ccc11e56377747c9533b4a654215476301
- Size of remote file:
- 6.71 MB
- SHA256:
- 85b20ae6a6ef98c5dd0891ca42f95f298c5f01240f2b998bb74283e0e8bac6ed
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