Instructions to use GAD01/svm-language-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use GAD01/svm-language-detector with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("GAD01/svm-language-detector", "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:
- e841fa4197bb1b495dbb97bc8007da7799a9aaaf09267056dbde45622b7ea17c
- Size of remote file:
- 55.1 MB
- SHA256:
- 5997a3f4a68467adf8acc5a8b3c5ff434aed948ba613183c96037077e6ae2463
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