Instructions to use cewastack/sentiment-pl-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use cewastack/sentiment-pl-test with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("cewastack/sentiment-pl-test", "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.joblib from cewastack/sentiment-pl-test: direct link, hf CLI and curl.
- Browser
- Download file 2.29 kB
-
https://huggingface.co/cewastack/sentiment-pl-test/resolve/main/model.joblib
- Command line
-
hf download hf://cewastack/sentiment-pl-test/model.joblib
-
curl -L -o model.joblib https://huggingface.co/cewastack/sentiment-pl-test/resolve/main/model.joblib
2.29 kB
- Xet hash:
- 282ccba4db5575a29364de1bea8ffaa5454f0f856569626f16134ef357fc89ab
- Size of remote file:
- 2.29 kB
- SHA256:
- ca43327fabb153557047a3ab8686ba89ced6651ebda758e5772de2e17cb285ab
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