Instructions to use Mr-Thop/SCAAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Mr-Thop/SCAAI with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Mr-Thop/SCAAI", "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 dataset.csv from Mr-Thop/SCAAI: direct link, hf CLI and curl.
- Browser
- Download file 494 MB
-
https://huggingface.co/Mr-Thop/SCAAI/resolve/main/dataset.csv
- Command line
-
hf download hf://Mr-Thop/SCAAI/dataset.csv
-
curl -L -o dataset.csv https://huggingface.co/Mr-Thop/SCAAI/resolve/main/dataset.csv
494 MB
- Xet hash:
- 0cb61df7f337df237908b29b21d192757b969165883e69fa7ee9d66d7c325cec
- Size of remote file:
- 494 MB
- SHA256:
- 16910f90577b0d981bf8ff289714510bb89bc71bff7d3f220f024e287e4eea6b
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