Instructions to use YatishW79/classical-ml-goemotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use YatishW79/classical-ml-goemotions with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("YatishW79/classical-ml-goemotions", "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 tfidf_vectorizer.pkl with huggingface_hub
Browse files- tfidf_vectorizer.pkl +3 -0
tfidf_vectorizer.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:4064a973f4ce475bca9fc09418a33139d060749e402a03fa5a87f07120f17147
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size 568915
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