--- license: cc-by-nc-2.0 language: - en base_model: - dunzhang/stella_en_1.5B_v5 library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - medical - clinicaltrials - cancer - feature-extraction - generated_from_trainer - dataset_size:1395384 - loss:OnlineContrastiveLoss - loss:MultipleNegativesRankingLoss --- # SentenceTransformer This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. ## Model Details ### Model Description - **Model Type:** Sentence Transformer - **Maximum Sequence Length:** 512 tokens - **Output Dimensionality:** 1024 tokens - **Similarity Function:** Cosine Similarity