Instructions to use lemon2222222/fake-job-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use lemon2222222/fake-job-detector with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("lemon2222222/fake-job-detector", "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
Fake Job Detector (TF-IDF + SGD)
A lightweight and fast model to detect fake job postings using classical NLP techniques and linear models.
Metrics (on test set)
| precision | recall | f1-score | support | |
|---|---|---|---|---|
| 0 | 0.99 | 1.00 | 0.99 | 855 |
| 1 | 0.86 | 0.66 | 0.75 | 29 |
| accuracy | - | - | 0.99 | 884 |
| macro avg | 0.93 | 0.83 | 0.87 | 884 |
| weighted avg | 0.98 | 0.99 | 0.98 | 884 |
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