Instructions to use Devanapally/FraudShield-ULB-Card with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Devanapally/FraudShield-ULB-Card with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Devanapally/FraudShield-ULB-Card", "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 model_hashes.json from Devanapally/FraudShield-ULB-Card: direct link, hf CLI and curl.
- Browser
- Download file 715 Bytes
-
https://huggingface.co/Devanapally/FraudShield-ULB-Card/resolve/main/model_hashes.json
- Command line
-
hf download hf://Devanapally/FraudShield-ULB-Card/model_hashes.json
-
curl -L -o model_hashes.json https://huggingface.co/Devanapally/FraudShield-ULB-Card/resolve/main/model_hashes.json
715 Bytes
| { | |
| "model-0.joblib": "c173d7d6b9ce581f9ba2242b0fcea206bfa869c15def02c95ecfda383ccb17e4", | |
| "model-1.joblib": "6c4a466bc6ecab85da64159b6fc857d21814a865d36c16c62a0d549e9bd849e1", | |
| "model-2.joblib": "c5dc975d98a8c4e017931e8451c7720e230fac8950bee8635813bd3c058a5a0c", | |
| "model-3.joblib": "049eac86333d3a7e5aabef42fd0821719c00535ab835cdad7929650c85c07329", | |
| "model-4.joblib": "0cb57b5ea5394b59cfda7fb3053aa15598cd0426ff983f79af7e04953608f5ea", | |
| "model-5.joblib": "d32dc9da76b310fe2481c30e2cb9088820b9d64cbaaa0befeda290e20f546b77", | |
| "model-6.joblib": "92d8649a40bb7452d5057ec103fccff05c6e8d7419a09bb1eabbded7993988d7", | |
| "model-7.joblib": "cd4ae31cbd7ac5852ebc5d3d943459db6271bcd08cf51661f454b545a5438f4e" | |
| } |