Instructions to use YASHR2002/fraudlens-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use YASHR2002/fraudlens-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("YASHR2002/fraudlens-model", "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 champion/model/python_env.yaml from YASHR2002/fraudlens-model: direct link, hf CLI and curl.
- Browser
- Download file 105 Bytes
-
https://huggingface.co/YASHR2002/fraudlens-model/resolve/main/champion/model/python_env.yaml
- Command line
-
hf download hf://YASHR2002/fraudlens-model/champion/model/python_env.yaml
-
curl -L -o python_env.yaml https://huggingface.co/YASHR2002/fraudlens-model/resolve/main/champion/model/python_env.yaml
105 Bytes
| python: 3.11.2 | |
| build_dependencies: | |
| - pip | |
| - setuptools | |
| - wheel | |
| dependencies: | |
| - -r requirements.txt | |