{ "__version__": { "sentence_transformers": "2.2.2", "transformers": "4.55.2", "pytorch": "2.8.0+cu128" }, "prompts": { "retrieval_IN": { "q_text": "encode query for same document retrieval: ", "pos_text": "encode document for same retrieval: " }, "retrieval_OUT": { "q_text": "encode query for different document retrieval: ", "pos_text": "encode document for different retrieval: " }, "retrieval_MIXED": { "q_text": "encode query for mixed document retrieval: ", "pos_text": "encode document for mixed retrieval: " }, "retrieval_inventor": { "q_text": "encode query for same inventor document retrieval: ", "pos_text": "encode document for same inventor retrieval: " }, "title2full": { "title": "encode title query for document retrieval: ", "full_text": "encode document for retrieval: " }, "problem2full": { "problem": "encode problem query for document retrieval: ", "full_text": "encode document for retrieval: " }, "effect2full": { "effect": "encode effect query for document retrieval: ", "full_text": "encode document for retrieval: " }, "effect2substance": { "effect": "encode effect query for substance retrieval: ", "substance": "encode substance for retrieval: " }, "problem2solution": { "problem": "encode problem query for solution retrieval: ", "solution": "encode solution for retrieval: " }, "para_problem": { "text1": "encode problem for problem paraphrase: ", "text2": "encode problem for problem paraphrase: " }, "para_solution": { "text1": "encode solution for solution paraphrase: ", "text2": "encode solution for solution paraphrase: " }, "class_text2ipc3": "encode document for ipc classification: ", "class_bloom": "encode document for bloom prediction classification: ", "class_nli_oldnew": { "q_text": "encode citing document for pair classification: ", "t_text": "encode cited document for pair classification: " }, "clusters_ext_full_ipc": "encode document for same ipc clustering: ", "clusters_inventor": "encode document for same inventors clustering: " }, "default_prompt_name": null, "similarity_fn_name": "cosine", "model_type": "SentenceTransformer" }