| 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 | |
| <!-- - **Base model:** [dunzhang/stella_en_1.5B_v5](https://huggingface.co/dunzhang/stella_en_1.5B_v5) --> | |
| - **Maximum Sequence Length:** 512 tokens | |
| - **Output Dimensionality:** 1024 tokens | |
| - **Similarity Function:** Cosine Similarity | |