| --- |
| language: en |
| license: apache-2.0 |
| library_name: sentence-transformers |
| tags: |
| - sentence-transformers |
| - feature-extraction |
| - sentence-similarity |
| - transformers |
| datasets: |
| - s2orc |
| - flax-sentence-embeddings/stackexchange_xml |
| - ms_marco |
| - gooaq |
| - yahoo_answers_topics |
| - code_search_net |
| - search_qa |
| - eli5 |
| - snli |
| - multi_nli |
| - wikihow |
| - natural_questions |
| - trivia_qa |
| - embedding-data/sentence-compression |
| - embedding-data/flickr30k-captions |
| - embedding-data/altlex |
| - embedding-data/simple-wiki |
| - embedding-data/QQP |
| - embedding-data/SPECTER |
| - embedding-data/PAQ_pairs |
| - embedding-data/WikiAnswers |
| pipeline_tag: sentence-similarity |
| --- |
| |
|
|
| # Matisse6410/MNLP_M2_document_encoder |
| This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space. |
| |
| |
