|
{ |
|
"__version__": { |
|
"sentence_transformers": "4.1.0", |
|
"transformers": "4.50.0", |
|
"pytorch": "2.5.1" |
|
}, |
|
"prompts": { |
|
"query": "search_query: ", |
|
"passage": "search_document: ", |
|
"CEDRClassification": "categorize_sentiment: ", |
|
"GeoreviewClassification": "categorize_entailment: ", |
|
"GeoreviewClusteringP2P": "paraphrase: ", |
|
"HeadlineClassification": "categorize_topic: ", |
|
"InappropriatenessClassification": "categorize_topic: ", |
|
"KinopoiskClassification": "categorize_sentiment: ", |
|
"MassiveIntentClassification": "categorize_entailment: ", |
|
"MassiveScenarioClassification": "categorize_entailment: ", |
|
"RuReviewsClassification": "categorize_entailment: ", |
|
"RUParaPhraserSTS": "paraphrase: ", |
|
"RuSTSBenchmarkSTS": "search_query: ", |
|
"STS22": "paraphrase: ", |
|
"RuSciBenchGRNTIClassification": "categorize_topic: ", |
|
"RuSciBenchGRNTIClusteringP2P": "categorize_topic: ", |
|
"RuSciBenchOECDClassification": "categorize_topic: ", |
|
"RuSciBenchOECDClusteringP2P": "categorize_topic: ", |
|
"SensitiveTopicsClassification": "categorize_topic: ", |
|
"TERRa": "categorize_entailment: ", |
|
"Classification": "categorize: ", |
|
"MultilabelClassification": "categorize: ", |
|
"Clustering": "categorize: ", |
|
"PairClassification": "categorize: ", |
|
"STS": "paraphrase: " |
|
}, |
|
"default_prompt_name": "Classification", |
|
"similarity_fn_name": "cosine" |
|
} |