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 validation/software_validation.json from Zipeng365/WISP: direct link, hf CLI and curl.
- Browser
- Download file 1.79 kB
-
https://huggingface.co/Zipeng365/WISP/resolve/main/validation/software_validation.json
- Command line
-
hf download hf://Zipeng365/WISP/validation/software_validation.json
-
curl -L -o software_validation.json https://huggingface.co/Zipeng365/WISP/resolve/main/validation/software_validation.json
1.79 kB
| { | |
| "status": "passed", | |
| "slurm_job_id": "55937883", | |
| "python_version": "3.12.13", | |
| "tests": { | |
| "tests": 55, | |
| "failures": 0, | |
| "errors": 0, | |
| "skipped": 0 | |
| }, | |
| "method_count": 11, | |
| "installed_wheel_import_verified": true, | |
| "baseline_packages_present": [], | |
| "adl_fold0_export": { | |
| "partition_windows": [ | |
| 3035, | |
| 446, | |
| 861 | |
| ], | |
| "class_count": 14, | |
| "participant_disjoint": true, | |
| "source_revision": "5e6af3c5c6dca050e73c06f49272f9656c0f259f" | |
| }, | |
| "installed_versions": { | |
| "joblib": "1.5.3", | |
| "attrs": "26.1.0", | |
| "pluggy": "1.6.0", | |
| "pyarrow": "21.0.0", | |
| "certifi": "2026.7.22", | |
| "aiosignal": "1.4.0", | |
| "frozenlist": "1.8.0", | |
| "requests": "2.34.2", | |
| "multiprocess": "0.70.16", | |
| "iniconfig": "2.3.0", | |
| "pytz": "2026.4", | |
| "yarl": "1.25.1", | |
| "propcache": "0.5.4", | |
| "scipy": "1.17.1", | |
| "scikit-learn": "1.7.2", | |
| "six": "1.17.0", | |
| "aiohttp": "3.14.3", | |
| "xxhash": "4.0.1", | |
| "packaging": "26.3", | |
| "pip": "26.2.1", | |
| "filelock": "4.0.9", | |
| "huggingface-hub": "0.34.4", | |
| "tzdata": "2026.4", | |
| "charset-normalizer": "3.5.2", | |
| "urllib3": "2.8.0", | |
| "aiohappyeyeballs": "2.7.1", | |
| "hf-xet": "1.6.0", | |
| "multidict": "6.9.1", | |
| "wisp-har": "0.1.0", | |
| "setuptools": "80.9.0", | |
| "tqdm": "4.70.1", | |
| "pygments": "2.21.0", | |
| "fsspec": "2025.3.0", | |
| "dill": "0.3.8", | |
| "pyyaml": "6.0.3", | |
| "wheel": "0.45.1", | |
| "pandas": "2.2.3", | |
| "idna": "3.20", | |
| "pytest": "9.0.3", | |
| "typing-extensions": "4.16.0", | |
| "python-dateutil": "2.9.0.post0", | |
| "threadpoolctl": "3.6.0", | |
| "numpy": "2.3.5", | |
| "datasets": "4.0.0" | |
| }, | |
| "synthetic_tests_are_not_benchmark_results": true, | |
| "historical_benchmark_models_refitted": 0, | |
| "synthetic_fixture_models_fit": true | |
| } | |