Matisse6410/MNLP_M2_document_encoder

1---2language: en3license: apache-2.04library_name: sentence-transformers5tags:6- sentence-transformers7- feature-extraction8- sentence-similarity9- transformers10datasets:11- s2orc12- flax-sentence-embeddings/stackexchange_xml13- ms_marco14- gooaq15- yahoo_answers_topics16- code_search_net17- search_qa18- eli519- snli20- multi_nli21- wikihow22- natural_questions23- trivia_qa24- embedding-data/sentence-compression25- embedding-data/flickr30k-captions26- embedding-data/altlex27- embedding-data/simple-wiki28- embedding-data/QQP29- embedding-data/SPECTER30- embedding-data/PAQ_pairs31- embedding-data/WikiAnswers32pipeline_tag: sentence-similarity33---34 35 36# Matisse6410/MNLP_M2_document_encoder37This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space.38 39