Instructions to use Legenddefsx/charling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Legenddefsx/charling with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Legenddefsx/charling", "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:
- e6ff670c0eb651f335d6cd86d7554c76e74b0b60f7b320f3fbc4ec42fd51f9ca
- Size of remote file:
- 169 kB
- SHA256:
- 97d7864c5d9c653f7bcbd2335f51db8d03512379d210c1433858b316c247bd94
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