Instructions to use kurtulus7182/SEPrimer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kurtulus7182/SEPrimer with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kurtulus7182/SEPrimer", "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 config.json from kurtulus7182/SEPrimer: direct link, hf CLI and curl.
- Browser
- Download file 1.62 kB
-
https://huggingface.co/kurtulus7182/SEPrimer/resolve/main/config.json
- Command line
-
hf download hf://kurtulus7182/SEPrimer/config.json
-
curl -L -o config.json https://huggingface.co/kurtulus7182/SEPrimer/resolve/main/config.json
1.62 kB
| { | |
| "schema_version": 1, | |
| "features": [ | |
| "seviye", | |
| "karar_suresi_sn", | |
| "onceki_yanlis_sayisi", | |
| "ipucu_sayisi", | |
| "sahne_no" | |
| ], | |
| "ranges": [ | |
| [ | |
| 0, | |
| 1 | |
| ], | |
| [ | |
| 0, | |
| 600 | |
| ], | |
| [ | |
| 0, | |
| 2 | |
| ], | |
| [ | |
| 0, | |
| 30 | |
| ], | |
| [ | |
| 1, | |
| 3 | |
| ] | |
| ], | |
| "integer_features": [ | |
| 0, | |
| 2, | |
| 3, | |
| 4 | |
| ], | |
| "labels": { | |
| "0": "normal_akis", | |
| "1": "kriz_freni" | |
| }, | |
| "decision_threshold": 0.6, | |
| "acceptance_accuracy": 0.75, | |
| "tolerance": 0.0001, | |
| "seed": 42, | |
| "model_version": "2.0.0", | |
| "status": "synthetic-demo", | |
| "input": { | |
| "name": "features", | |
| "dtype": "float32", | |
| "shape": [ | |
| null, | |
| 5 | |
| ] | |
| }, | |
| "output": { | |
| "name": "probabilities", | |
| "positive_class_index": 1 | |
| }, | |
| "model_sha256": "c4f7734a68d93a40d114960c44b47111e950fcaef02c1db5a28a71e5ceb46289", | |
| "data_sha256": "d1dcd344e2f7815763143fd40d984577312bed3bc04a140f9bad6caf7697df6b", | |
| "metrics": { | |
| "accuracy": 0.9055555555555556, | |
| "onnx_max_abs_error": 1.3763748296646838e-07, | |
| "confusion_matrix": [ | |
| [ | |
| 99, | |
| 3 | |
| ], | |
| [ | |
| 14, | |
| 64 | |
| ] | |
| ], | |
| "train_sessions": 180, | |
| "test_sessions": 60, | |
| "train_rows": 540, | |
| "test_rows": 180, | |
| "real_sessions": 0 | |
| }, | |
| "split": "GroupShuffleSplit: oturum_id, holdout=0.25; test oturumlari egitimde yok", | |
| "dependencies": { | |
| "numpy": "2.2.6", | |
| "scikit-learn": "1.7.2", | |
| "skl2onnx": "1.19.1", | |
| "onnx": "1.19.1", | |
| "onnxruntime": "1.23.2" | |
| } | |
| } | |