Instructions to use tvf007/EDSBG1TP2-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use tvf007/EDSBG1TP2-model with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("tvf007/EDSBG1TP2-model", "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 priority_model.joblib from tvf007/EDSBG1TP2-model: direct link, hf CLI and curl.
- Browser
- Download file 318 kB
-
https://huggingface.co/tvf007/EDSBG1TP2-model/resolve/main/priority_model.joblib
- Command line
-
hf download hf://tvf007/EDSBG1TP2-model/priority_model.joblib
-
curl -L -o priority_model.joblib https://huggingface.co/tvf007/EDSBG1TP2-model/resolve/main/priority_model.joblib
318 kB
- Xet hash:
- 430210726866d471c55e63f4814e347135d2a2a7e96e395c9236666c707b023c
- Size of remote file:
- 318 kB
- SHA256:
- f9d91c287854a06bb8ce7e429a16e44a46b7d459904f2dafb9ed2ec5bb623d4d
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