Instructions to use datasetter458/central with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use datasetter458/central with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("datasetter458/central", "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
| license: mit | |
| datasets: | |
| - datasetter458/central_gpu | |
| - datasetter458/central_ssd | |
| language: | |
| - en | |
| metrics: | |
| - r_squared | |
| pipeline_tag: tabular-regression | |
| library_name: sklearn | |