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
File size: 432 Bytes
8910582 | 1 2 3 4 5 6 7 8 9 | @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/}
}
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