Instructions to use kurtulus7182/SEPrimer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use kurtulus7182/SEPrimer with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("kurtulus7182/SEPrimer", "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 model.onnx from kurtulus7182/SEPrimer: direct link, hf CLI and curl.
- Browser
- Download file 541 Bytes
-
https://huggingface.co/kurtulus7182/SEPrimer/resolve/main/model.onnx
- Command line
-
hf download hf://kurtulus7182/SEPrimer/model.onnx
-
curl -L -o model.onnx https://huggingface.co/kurtulus7182/SEPrimer/resolve/main/model.onnx
541 Bytes
- Xet hash:
- 050d2d457354b2166c900b9fbb4abecb20f35eb170330611cf63ac66e8f41157
- Size of remote file:
- 541 Bytes
- SHA256:
- c4f7734a68d93a40d114960c44b47111e950fcaef02c1db5a28a71e5ceb46289
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