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 configs/scope.json from Zipeng365/WISP: direct link, hf CLI and curl.
- Browser
- Download file 1.6 kB
-
https://huggingface.co/Zipeng365/WISP/resolve/main/configs/scope.json
- Command line
-
hf download hf://Zipeng365/WISP/configs/scope.json
-
curl -L -o scope.json https://huggingface.co/Zipeng365/WISP/resolve/main/configs/scope.json
1.6 kB
| { | |
| "datasets": [ | |
| "capture24_wearable_activity_v1", | |
| "wisdm_watch_accel_v1", | |
| "adl_wrist_accel_v1", | |
| "iuwds_wrist_accel_v1", | |
| "paal_adl_wrist_accel_v1", | |
| "handy_wrist_accel_v1", | |
| "domino_watch_accel_v1", | |
| "harmes_left_wrist_accel_v1", | |
| "harmes_right_wrist_accel_v1", | |
| "gotov_wrist_accel_v1", | |
| "pamap2_hand_imu_v1", | |
| "mhealth_right_lower_arm_v1" | |
| ], | |
| "reported_views": [ | |
| "capture24_wearable_activity_v1", | |
| "wisdm_watch_accel_v1", | |
| "adl_wrist_accel_v1", | |
| "iuwds_wrist_accel_v1", | |
| "paal_adl_wrist_accel_v1", | |
| "handy_wrist_accel_v1", | |
| "domino_watch_accel_v1", | |
| "gotov_wrist_accel_v1", | |
| "pamap2_hand_imu_v1", | |
| "mhealth_right_lower_arm_v1", | |
| "harmes_paired_wrist_accel_v1" | |
| ], | |
| "wisp_methods": [ | |
| "wisp_ss", | |
| "wisp_rc", | |
| "wisp_so", | |
| "wisp_cse", | |
| "wisp_gis", | |
| "wisp_cis", | |
| "wisp_ese", | |
| "wisp_select5", | |
| "wisp_select7", | |
| "wisp_random", | |
| "wisp_evolution" | |
| ], | |
| "cis_ablation_methods": [ | |
| "cis_ablation_IS_direct", | |
| "cis_ablation_IS_viterbi", | |
| "cis_ablation_I_direct", | |
| "cis_ablation_I_viterbi", | |
| "cis_ablation_RIS_direct", | |
| "cis_ablation_RIS_viterbi", | |
| "cis_ablation_RI_direct", | |
| "cis_ablation_RI_viterbi", | |
| "cis_ablation_RS_direct", | |
| "cis_ablation_RS_viterbi", | |
| "cis_ablation_R_direct", | |
| "cis_ablation_R_viterbi", | |
| "cis_ablation_S_direct", | |
| "cis_ablation_S_viterbi" | |
| ], | |
| "split_seeds": [ | |
| 1000, | |
| 2000, | |
| 3000, | |
| 4000, | |
| 5000 | |
| ], | |
| "model_seeds": [ | |
| 42, | |
| 43, | |
| 44 | |
| ], | |
| "budgets": [ | |
| 25, | |
| 50, | |
| 100, | |
| 200, | |
| 329 | |
| ] | |
| } | |