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
Download vectorizers.pkl from themodmaker/pestlegf: direct link, hf CLI and curl.
- Browser
- Download file 152 kB
-
https://huggingface.co/themodmaker/pestlegf/resolve/main/vectorizers.pkl
- Command line
-
hf download hf://themodmaker/pestlegf/vectorizers.pkl
-
curl -L -o vectorizers.pkl https://huggingface.co/themodmaker/pestlegf/resolve/main/vectorizers.pkl
152 kB
- Xet hash:
- 319a9c4735096b30711f9744a2ab832c0f538ad43d8f483f521d7d41af475a21
- Size of remote file:
- 152 kB
- SHA256:
- 9a2e2ff08ac4d822fce3acb0e8f8284db0a16ab12ac8d4961fefedfd9b463690
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