Text Classification
Scikit-learn
Indonesian
sentiment-analysis
nlp
naive-bayes
e-commerce
indonesian
Instructions to use ZakyF/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ZakyF/sentiment-analysis with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ZakyF/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- le_category.pkl +3 -0
- le_emotion.pkl +3 -0
- nb_model.pkl +3 -0
- svm_model.pkl +3 -0
le_category.pkl
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oid sha256:add8fa28021bfcdf76e98c1772058a1a289d3fee181023e8ecfc54d14c937703
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size 916
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le_emotion.pkl
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oid sha256:7b8d15aec129a1a358be120d86dc75a6184e05a30ae950bfb6dda3a691bd192d
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size 512
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nb_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:b17d1779ab171dcb6fac8328d637084bdcb687c90ef9316d4c07be60f0914bf5
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size 1007
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svm_model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:10e44007c14720d30cc42fd1cce4b85c4a46bd1ba0265b687f7ab9ceb8b30625
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size 3315
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