Instructions to use harshiv/placementrep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use harshiv/placementrep with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("harshiv/placementrep", "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:
- 1b0d23b5f0bfb992b0e26dfe082c2faa306615cd3efc5b446f71c5a981015a02
- Size of remote file:
- 5.26 kB
- SHA256:
- 81912a68bcadb56a97fa208ce1ac37b4f8ac45fb289d40955eedc3cd65acfb4d
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