Instructions to use DineshKumar1329/Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use DineshKumar1329/Sentiment_Analysis with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("DineshKumar1329/Sentiment_Analysis", "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:
- 6db568bb72eb3012ef47187fdc075d3344135a594405498c112b294205eab3e9
- Size of remote file:
- 22 MB
- SHA256:
- f5a3ccd384ce3cb59cfc0c973a6821ede9bd49874436de47540fc08ace1924f0
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