Instructions to use MichaelYitzchak/Linkedin_Job_Engagement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use MichaelYitzchak/Linkedin_Job_Engagement with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("MichaelYitzchak/Linkedin_Job_Engagement", "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
- Xet hash:
- aadebe88ac6eefb4faeb4b60fd63bfa154b24d5746543919f2330babf64379db
- Size of remote file:
- 32.8 kB
- SHA256:
- 732fc2e393b959b8761536a1c15a71943c14f6cfa69661bac5bfcd41c9e33b17
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