Instructions to use syreeta/CodeCrusaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use syreeta/CodeCrusaders with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("syreeta/CodeCrusaders", "voting.pickle") ) # 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 stacking.pickle from syreeta/CodeCrusaders: direct link, hf CLI and curl.
- Browser
- Download file 29.8 MB
-
https://huggingface.co/syreeta/CodeCrusaders/resolve/main/stacking.pickle
- Command line
-
hf download hf://syreeta/CodeCrusaders/stacking.pickle
-
curl -L -o stacking.pickle https://huggingface.co/syreeta/CodeCrusaders/resolve/main/stacking.pickle
29.8 MB
- Xet hash:
- 8670887b0b193e4f1a98bc4a89549ad2099b09dfb7e8ecb8e07d3eb7ebb072ab
- Size of remote file:
- 29.8 MB
- SHA256:
- 1ef11319869afae3f280e6be4a7c230c74330b3e836a245801264b252a4eb643
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