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:
- c14302eefc78b9403e26ed318280000895005109fcfd8ef4b41cc33dc51fbcc3
- Size of remote file:
- 4.7 MB
- SHA256:
- f5500f6267e797724ee01e4e04d80d719cb0f4f6295fb7ee9af4a9d8651a7b78
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.