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
Download datasets/Sentiment.xlsx from DineshKumar1329/Sentiment_Analysis: direct link, hf CLI and curl.
- Browser
- Download file 103 kB
-
https://huggingface.co/DineshKumar1329/Sentiment_Analysis/resolve/main/datasets/Sentiment.xlsx
- Command line
-
hf download hf://DineshKumar1329/Sentiment_Analysis/datasets/Sentiment.xlsx
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curl -L -o Sentiment.xlsx https://huggingface.co/DineshKumar1329/Sentiment_Analysis/resolve/main/datasets/Sentiment.xlsx
103 kB
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