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
Upload 4 files
Browse files
Sentiment_classifier_model.joblib
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oid sha256:f5a3ccd384ce3cb59cfc0c973a6821ede9bd49874436de47540fc08ace1924f0
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size 21996553
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datasets/Sentiment.xlsx
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Binary file (103 kB). View file
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datasets/output_predictions.xlsx
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Binary file (5.49 kB). View file
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vectorizer_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8087511b2217a8163f52f7b99a6148db8236f1e566d64855699879d6576b9a9
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size 2260442
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