Tabular Classification
Laya
Safetensors
fraud-detection
fdb
system-one
typed-decisions
stacking
gradient-boosting
lora
modernbert
Instructions to use getSTEAV/system-one-fdb-ccfraud with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use getSTEAV/system-one-fdb-ccfraud with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download eval/fdb_split_hashes.json from getSTEAV/system-one-fdb-ccfraud: direct link, hf CLI and curl.
- Browser
- Download file 439 Bytes
-
https://huggingface.co/getSTEAV/system-one-fdb-ccfraud/resolve/main/eval/fdb_split_hashes.json
- Command line
-
hf download hf://getSTEAV/system-one-fdb-ccfraud/eval/fdb_split_hashes.json
-
curl -L -o fdb_split_hashes.json https://huggingface.co/getSTEAV/system-one-fdb-ccfraud/resolve/main/eval/fdb_split_hashes.json
439 Bytes
| { | |
| "volatile_columns": [ | |
| "EVENT_ID", | |
| "ENTITY_ID", | |
| "LABEL_TIMESTAMP" | |
| ], | |
| "train": "336727aae1e32418-227845-v1,v2,v3,v4,v5,v6,v7,v8,v9,v10,v11,v12,v13,v14,v15,v16,v17,v18,v19,v20,v21,v22,v23,v24,v25,v26,v27,v28,amount,EVENT_LABEL,EVENT_TIMESTAMP,ENTITY_TYPE", | |
| "test": "4d4205cca821117c-56962-v1,v2,v3,v4,v5,v6,v7,v8,v9,v10,v11,v12,v13,v14,v15,v16,v17,v18,v19,v20,v21,v22,v23,v24,v25,v26,v27,v28,amount,EVENT_TIMESTAMP,ENTITY_TYPE" | |
| } | |