Instructions to use Hitchwiki/heatchmap-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Hitchwiki/heatchmap-models with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Hitchwiki/heatchmap-models", "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
| datasets: | |
| - Hitchwiki/hitchhiking-rides-dataset | |
| library_name: sklearn | |
| license: cc-by-sa-4.0 | |
| Geospatial model for hitchhiking waiting times world-wide. | |
| Models have to be created using. https://pypi.org/project/heatchmap/ | |
| Models are used for inference in https://github.com/Hitchwiki/hitchhiking-heatmap-generator to generate the heatmap stored in https://huggingface.co/datasets/Hitchwiki/hitchhiking-heatmap. |