Instructions to use Zipeng365/WISP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Zipeng365/WISP with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Zipeng365/WISP", "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 CITATION.bib from Zipeng365/WISP: direct link, hf CLI and curl.
- Browser
- Download file 432 Bytes
-
https://huggingface.co/Zipeng365/WISP/resolve/main/CITATION.bib
- Command line
-
hf download hf://Zipeng365/WISP/CITATION.bib
-
curl -L -o CITATION.bib https://huggingface.co/Zipeng365/WISP/resolve/main/CITATION.bib
432 Bytes
| @techreport{wu2026wisp, | |
| title = {{WISP}: Composable Representations for Wrist-Worn Activity Recognition}, | |
| author = {Wu, Zipeng and Zhou, Shiqiao and Spill, Fabian and Andrews, James}, | |
| year = {2026}, | |
| institution = {University of Birmingham}, | |
| type = {Preprint}, | |
| url = {https://research.birmingham.ac.uk/en/publications/wisp-composable-representations-for-wrist-worn-activity-recogniti/} | |
| } | |