Update src/models/predict_model.py

src/models/predict_model.py

@@ -22,11 +22,11 @@ entity_dict.update(new_dict)
 title2idx = dict([(x.strip(), y) for x, y in zip(df_wiki.title, df_wiki.index.values)])
 
 qa_model = QAEnsembleModel("nguyenvulebinh/vi-mrc-large", ["models/qa_model_robust.bin"], entity_dict)
-pairwise_model_stage1 = PairwiseModel("nguyenvulebinh/vi-mrc-base").half()
+pairwise_model_stage1 = PairwiseModel("nguyenvulebinh/vi-mrc-base")#.half()
 pairwise_model_stage1.load_state_dict(torch.load("models/pairwise_v2.bin"))
 pairwise_model_stage1.eval()
 
-pairwise_model_stage2 = PairwiseModel("nguyenvulebinh/vi-mrc-base").half()
+pairwise_model_stage2 = PairwiseModel("nguyenvulebinh/vi-mrc-base")#.half()
 pairwise_model_stage2.load_state_dict(torch.load("models/pairwise_stage2_seed0.bin"))
 
 bm25_model_stage1 = BM25Gensim("models/bm25_stage1/", entity_dict, title2idx)