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:
- bc6a24d8e1e2c313e2e8199650a9b03cfa41d1a8fdc73b25b565972c3a45c082
- Size of remote file:
- 7.86 MB
- SHA256:
- 8c6d2b7bc7cd657d9dc9ef4af723f745173e985c6258345fd91b34823fc19293
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