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 label_encoder.pkl from themodmaker/pestlegf: direct link, hf CLI and curl.
- Browser
- Download file 315 Bytes
-
https://huggingface.co/themodmaker/pestlegf/resolve/main/label_encoder.pkl
- Command line
-
hf download hf://themodmaker/pestlegf/label_encoder.pkl
-
curl -L -o label_encoder.pkl https://huggingface.co/themodmaker/pestlegf/resolve/main/label_encoder.pkl
315 Bytes
- Xet hash:
- 3c5b08513d23a465d76429e08cb2bed27d9326d46141ea9e3e27680c9f957b85
- Size of remote file:
- 315 Bytes
- SHA256:
- 893b4200a8ccff0ee5c16a6c8fa60127265a03a2265e6228e5b49b2272dcdee1
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