Instructions to use YgorReis/fraud-detector-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use YgorReis/fraud-detector-v1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("YgorReis/fraud-detector-v1", "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
- Xet hash:
- 4330feec17494d0b470b33c213275f4eddfdc09566f4c49f4873627b8aa30011
- Size of remote file:
- 65.3 kB
- SHA256:
- 33594e85b60cbf23373344fb91e4acadd26c46519bee7a5e97f75efbe5e73081
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