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:
- c7fca16fe93a420ca5d518917e87b1aa9390b1e46a804306517c53d43a514be4
- Size of remote file:
- 486 MB
- SHA256:
- 9c7fe7b08a516ea9dd44336386b7b269573eb22cb32c4eca1c44cf92e0355961
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.