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 README.md from themodmaker/pestlegf: direct link, hf CLI and curl.
- Browser
- Download file 226 Bytes
-
https://huggingface.co/themodmaker/pestlegf/resolve/main/README.md
- Command line
-
hf download hf://themodmaker/pestlegf/README.md
-
curl -L -o README.md https://huggingface.co/themodmaker/pestlegf/resolve/main/README.md
226 Bytes
| license: cc-by-sa-3.0 | |
| language: | |
| - en | |
| metrics: | |
| - f1, accuracy, precision, recall, cross validation | |
| base_model: | |
| - model.pkl | |
| new_version: themodmaker/pestlegf_v0.01 | |
| pipeline_tag: text-classification | |
| library_name: sklearn | |