Instructions to use themodmaker/pestlegf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use themodmaker/pestlegf with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("themodmaker/pestlegf", "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
Hello pestle
Browse files- keywords.pkl +3 -0
- label_encoder.pkl +3 -0
- model.pkl +3 -0
- vectorizers.pkl +3 -0
keywords.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:bcaab741495505155f8286698261d7ec9152036a73a040255c0f352f0ba161de
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size 791
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label_encoder.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:893b4200a8ccff0ee5c16a6c8fa60127265a03a2265e6228e5b49b2272dcdee1
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size 315
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model.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf9c1f064051b8b67853873d4bcdb38d05f8974d232727e86d2cb6af4533ded8
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size 2913248
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vectorizers.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a2e2ff08ac4d822fce3acb0e8f8284db0a16ab12ac8d4961fefedfd9b463690
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size 152471
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