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.pth filesmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_retrain_checkpoint_idx_to_match_3_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_meat.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_150_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_225_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_75_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_150_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_225_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_75_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_150_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_225_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_75_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_150_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_225_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_amazon_reviews_grocery_and_gourmet_food_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_alcohol_unlearn_epoch_75_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_goodreads_best.pthmodel_BPR_seed_11_dataset_goodreads_retrain_checkpoint_idx_to_match_3_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_1450_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_2900_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_4350_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_5799_retrain_checkpoint_idx_to_match_3.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_1450_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_2900_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_4350_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_5799_retrain_checkpoint_idx_to_match_3.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_1450_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_2900_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_4350_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_5799_retrain_checkpoint_idx_to_match_3.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_1450_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_2900_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_4350_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_goodreads_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_5799_retrain_checkpoint_idx_to_match_3.pthmodel_BPR_seed_11_dataset_movielens_retrain_checkpoint_idx_to_match_3_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_violence.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_15_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_30_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_fanchuan_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_45_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_1462_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_15_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_30_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_45_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_487_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_60_retrain_checkpoint_idx_to_match_3.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_kookmin_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_975_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_1462_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_15_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_30_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_45_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_487_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_60_retrain_checkpoint_idx_to_match_3.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_scif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_975_retrain_checkpoint_idx_to_match_1.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_1462_retrain_checkpoint_idx_to_match_2.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_15_retrain_checkpoint_idx_to_match_0.pthmodel_BPR_seed_11_dataset_movielens_unlearning_algorithm_seif_unlearning_fraction_0.0001_unlearning_sample_selection_method_sensitive_category_health_unlearn_epoch_30_retrain_checkpoint_idx_to_match_1.pth1python run_recbole.py \
2 --model YOUR_MODEL \
3 --dataset YOUR_DATASET \
4 --eval_only \
5 --hf_model_path "hf://deem-data/recbole-models/FILENAME.pth"1from recbole.utils import load_model_from_path
2import torch
3
4# Load checkpoint
5checkpoint = load_model_from_path(
6 model_path="hf://deem-data/recbole-models/FILENAME.pth",
7 map_location="cpu"
8)
9
10# Load into your model
11model.load_state_dict(checkpoint["state_dict"])1from recbole.utils import HuggingFaceModelLoader
2
3loader = HuggingFaceModelLoader()
4repo_path = loader.download_repository(
5 repo_id="deem-data/recbole-models",
6 allow_patterns=["*.pth"]
7)
8
9print(f"All models downloaded to: {repo_path}")1@inproceedings{recbole,
2 title={RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms},
3 author={Wayne Xin Zhao and Shanlei Mu and Yupeng Hou and Zihan Lin and Yushuo Chen and Xingyu Pan and Kaiyuan Li and Yujie Lu and Hui Wang and Changxin Tian and Yingqian Min and Zhichao Feng and Xinyan Fan and Xu Chen and Pengfei Wang and Wendi Ji and Yaliang Li and Xiaoling Wang and Ji-Rong Wen},
4 booktitle={CIKM},
5 year={2021}
6}