datalyes/patembed-base_long_4096
0791
1{2 "__version__": {3 "sentence_transformers": "2.2.2",4 "transformers": "4.55.2",5 "pytorch": "2.8.0+cu128"6 },7 "prompts": {8 "retrieval_IN": {9 "q_text": "encode query for same document retrieval: ",10 "pos_text": "encode document for same retrieval: "11 },12 "retrieval_OUT": {13 "q_text": "encode query for different document retrieval: ",14 "pos_text": "encode document for different retrieval: "15 },16 "retrieval_MIXED": {17 "q_text": "encode query for mixed document retrieval: ",18 "pos_text": "encode document for mixed retrieval: "19 },20 "retrieval_inventor": {21 "q_text": "encode query for same inventor document retrieval: ",22 "pos_text": "encode document for same inventor retrieval: "23 },24 "title2full": {25 "title": "encode title query for document retrieval: ",26 "full_text": "encode document for retrieval: "27 },28 "problem2full": {29 "problem": "encode problem query for document retrieval: ",30 "full_text": "encode document for retrieval: "31 },32 "effect2full": {33 "effect": "encode effect query for document retrieval: ",34 "full_text": "encode document for retrieval: "35 },36 "effect2substance": {37 "effect": "encode effect query for substance retrieval: ",38 "substance": "encode substance for retrieval: "39 },40 "problem2solution": {41 "problem": "encode problem query for solution retrieval: ",42 "solution": "encode solution for retrieval: "43 },44 "para_problem": {45 "text1": "encode problem for problem paraphrase: ",46 "text2": "encode problem for problem paraphrase: "47 },48 "para_solution": {49 "text1": "encode solution for solution paraphrase: ",50 "text2": "encode solution for solution paraphrase: "51 },52 "class_text2ipc3": "encode document for ipc classification: ",53 "class_bloom": "encode document for bloom prediction classification: ",54 "class_nli_oldnew": {55 "q_text": "encode citing document for pair classification: ",56 "t_text": "encode cited document for pair classification: "57 },58 "clusters_ext_full_ipc": "encode document for same ipc clustering: ",59 "clusters_inventor": "encode document for same inventors clustering: "60 },61 "default_prompt_name": null,62 "similarity_fn_name": "cosine",63 "model_type": "SentenceTransformer"64}