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 final_model.joblib from tvf007/EDSBG1TP2-model: direct link, hf CLI and curl.
- Browser
- Download file 503 kB
-
https://huggingface.co/tvf007/EDSBG1TP2-model/resolve/main/final_model.joblib
- Command line
-
hf download hf://tvf007/EDSBG1TP2-model/final_model.joblib
-
curl -L -o final_model.joblib https://huggingface.co/tvf007/EDSBG1TP2-model/resolve/main/final_model.joblib
503 kB
- Xet hash:
- ee5197403c624bf1aad94671e298f24af69b89bcfc2e06913a9c37b872433e11
- Size of remote file:
- 503 kB
- SHA256:
- d1e17420a9033c2c68ce73bc3a0974e588605db880c2c29bfb975eb819041f1e
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