Instructions to use gokulalgates/nrtoxpred-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use gokulalgates/nrtoxpred-models with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("gokulalgates/nrtoxpred-models", "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:
- 0583faf2863f7c136c286ef3131d2099a587e7a7016f361eae90eb76d6fcff48
- Size of remote file:
- 2.84 MB
- SHA256:
- fb2134a1e322757c6230c6556b15657fc7759dae8c697f788dc333098d8a2fdd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.